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University of Edinburgh
1.
Miles, Nicole.
Language and the Hands: The Effects of the Hands on Semantic Processing.
Degree: 2011, University of Edinburgh
URL: http://hdl.handle.net/1842/6017 
► The hands are closely tied to language through their role in gestures, sign language, and the mirror neuron system for grasping. Studies within embodied cognition…
(more)
▼ The hands are closely tied to language through their role in gestures, sign language, and the mirror neuron system for grasping. Studies within embodied cognition have found that motor resonance occurs when people observe graspable objects represented as pictures or words. This has led to questions about the influence of the hands on reading. This experiment investigated the effects of the hands on
semantic processing. Participants completed a
semantic categorization task and a visual task in two different postures: a proximal posture in which their hands were near the text, and a distal posture in which their hands were in their lap and out of view. It was hypothesized, in line with previous research, that
semantic processing would be reduced when the hands were in the proximal posture because of a trade-off between
semantic and spatial
processing. To the contrary, results showed no effect from the hands on
semantic processing. Response times were slower in the proximal posture condition than in the distal posture condition of the visual task. The
semantic processing of tool words was faster for the proximal posture condition, but this was not significant. Results suggest that the effects of the hands on
semantic processing are not robust, and that further research is necessary to clarify any influences of the hands on reading. Future experiments on a possible facilitation effect from the hands when semantically
processing graspable objects would be beneficial in shedding light on the relationship between the hands and higher levels of cognition.
Advisors/Committee Members: Shillcock, Richard.
Subjects/Keywords: Semantic Processing; Hands
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APA (6th Edition):
Miles, N. (2011). Language and the Hands: The Effects of the Hands on Semantic Processing. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/6017
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Miles, Nicole. “Language and the Hands: The Effects of the Hands on Semantic Processing.” 2011. Thesis, University of Edinburgh. Accessed April 16, 2021.
http://hdl.handle.net/1842/6017.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Miles, Nicole. “Language and the Hands: The Effects of the Hands on Semantic Processing.” 2011. Web. 16 Apr 2021.
Vancouver:
Miles N. Language and the Hands: The Effects of the Hands on Semantic Processing. [Internet] [Thesis]. University of Edinburgh; 2011. [cited 2021 Apr 16].
Available from: http://hdl.handle.net/1842/6017.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Miles N. Language and the Hands: The Effects of the Hands on Semantic Processing. [Thesis]. University of Edinburgh; 2011. Available from: http://hdl.handle.net/1842/6017
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Sydney
2.
Xia, Violet.
Conceptual organisation of the Chinese-English bilingual mental lexicon: investigations of cross-language priming
.
Degree: 2014, University of Sydney
URL: http://hdl.handle.net/2123/11623
► The majority of research on the organisation of bilinguals’ lexical memory has focused on alphabetic languages with shared etymological roots and scripts. Theories based on…
(more)
▼ The majority of research on the organisation of bilinguals’ lexical memory has focused on alphabetic languages with shared etymological roots and scripts. Theories based on such evidence may not generalise to noncognate languages with different scripts, such as Chinese and English. This thesis reports a systematic series of experiments designed to investigate the organisation of lexical and conceptual knowledge for bilinguals’ first (L1) and second (L2) language in late L1-dominant Chinese-English bilinguals using the classical cross-language priming paradigm. It aims to investigate how such bilinguals store the meanings of Chinese and English words. It also aims to identify the similarities and discrepancies in the conceptual organisation between noncognate languages with different scripts, i.e., Chinese and English, and to investigate how the lexical representations of a bilingual’s two languages interact with each other and with the conceptual representation. The introductory chapter reviews early theoretical formulations of bilingualism, and evaluates more recent models of bilingual memory. The empirical chapters present three series comprising eight experiments which directly compared cross-language translation priming and semantic priming in both L1-L2 and L2-L1 language directions under conditions designed to tap automatic semantic processes using the same relatively short stimulus onset asynchrony (SOA) of 200 ms but different priming paradigms and task contexts. Series 1 (Experiments 1A and 1B) compared repetition/translation priming and semantic priming within and between languages for various semantic relations using an unmasked priming paradigm in lexical decision and word naming tasks. Both tasks produced similar patterns of unmasked translation priming in both L1-L2 and L2-L1 directions, although the priming effects in naming were of a smaller magnitude. Both tasks also showed significant unmasked semantic priming effects for English word targets in the L1-L2 and L2-L2 conditions, but there was little evidence of semantic priming for L1 word targets in the L1-L1 and L2-L1 conditions. Neither task yielded any semantic priming in the within-language L1-L1 condition. Series 2 (Experiments 2A, 2B and 3A, 3B) reported two pairs of semantic categorisation and lexical decision tasks designed to test the predictions of the Sense Model (Finkbeiner, Forster, Nicol, & Nakamura, 2004). The experiments replicated Finkbeiner et al.’s finding that L2-L1 priming is somewhat stronger in semantic categorisation than lexical decision, selectively for category exemplars. However, the direct comparison of L1-L2 and L2-L1 translation priming failed to confirm the Sense Model’s central prediction that translation priming asymmetry is significantly reduced in semantic categorisation. The findings therefore did not support the category filtering account of translation priming asymmetry proposed by the Sense Model but were consistent with semantic feedback (e.g., Hoshino, Midgley, Holcomb, &…
Subjects/Keywords: Masked priming;
Bilingual lexical representation;
Semantic processing;
Lexical decision;
Semantic categorisation
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APA (6th Edition):
Xia, V. (2014). Conceptual organisation of the Chinese-English bilingual mental lexicon: investigations of cross-language priming
. (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/11623
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Xia, Violet. “Conceptual organisation of the Chinese-English bilingual mental lexicon: investigations of cross-language priming
.” 2014. Thesis, University of Sydney. Accessed April 16, 2021.
http://hdl.handle.net/2123/11623.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Xia, Violet. “Conceptual organisation of the Chinese-English bilingual mental lexicon: investigations of cross-language priming
.” 2014. Web. 16 Apr 2021.
Vancouver:
Xia V. Conceptual organisation of the Chinese-English bilingual mental lexicon: investigations of cross-language priming
. [Internet] [Thesis]. University of Sydney; 2014. [cited 2021 Apr 16].
Available from: http://hdl.handle.net/2123/11623.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Xia V. Conceptual organisation of the Chinese-English bilingual mental lexicon: investigations of cross-language priming
. [Thesis]. University of Sydney; 2014. Available from: http://hdl.handle.net/2123/11623
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
3.
Snell, Joshua.
Readers are parallel processors : Le traitement en parallèle des mots pendant la lecture.
Degree: Docteur es, Psychologie, 2018, Aix Marseille Université
URL: http://www.theses.fr/2018AIXM0244
► Une question centrale des recherches sur la lecture concerne la nature séquentielle ou parallèle de l’identification des mots pendant la lecture de phrases. L’hypothèse dominante…
(more)
▼ Une question centrale des recherches sur la lecture concerne la nature séquentielle ou parallèle de l’identification des mots pendant la lecture de phrases. L’hypothèse dominante postule que l’attention spatiale est allouée à un seul mot à la fois, et qu’avec cette contrainte, l’identification des mots doit forcément s’opérer de manière séquentielle. Cependant, un certain nombre de résultats suggèrent, au contraire, que l’attention spatiale peut être allouée à plusieurs mots à la fois, de manière distribuée. Cette attention disbribuée pourrait permettre l’identification en parallèle de plusieurs mots de manière simultanée, et les travaux présentés dans cette thèse cherchent à déterminer la viabilité de cette hypothèse. Notamment, nos travaux visent à préciser le niveau de traitement (visuel, orthographique, lexical, sémantique ou syntaxique) permis par cette attention distribuée.
This thesis addresses one of the most hotly debated issues in reading research: Are words processed serially or in parallel during reading? One could argue that this is primarily a question of visuo-spatial attention: is attention distributed across multiple words during reading? The research presented here suggests that attention can indeed be allocated to multiple words at once. It is further established that attention is a key factor driving (sub-lexical) orthographic processing. The next question, then, is whether multiple lexical representations can be activated in parallel. This thesis comprises a wealth of evidence for parallel lexical activation: firstly we have found that readers activate embedded words (e.g., ‘use’ in ‘houses’) alongside the word that is to be recognized, indicating that parallel lexical processing would occur even if readers could effectively focus their attention on single words. Moreover, we have found that semantic and syntactic categorization decisions about foveal target words are influenced by the semantic and syntactic aspects of surrounding words, even when all these words are presented for a duration shorter than the average time needed to recognize a single word. Hence, given that readers’ attention is spread across multiple words and that multiple lexical representations can be activated in parallel, it seems reasonable to claim that the reading system is in principle a parallel processing system.
Advisors/Committee Members: Grainger, Jonathan (thesis director).
Subjects/Keywords: Lecture; Attention; Reading; Attention; Orthographic processing; Syntactic processing; Semantic processing
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APA (6th Edition):
Snell, J. (2018). Readers are parallel processors : Le traitement en parallèle des mots pendant la lecture. (Doctoral Dissertation). Aix Marseille Université. Retrieved from http://www.theses.fr/2018AIXM0244
Chicago Manual of Style (16th Edition):
Snell, Joshua. “Readers are parallel processors : Le traitement en parallèle des mots pendant la lecture.” 2018. Doctoral Dissertation, Aix Marseille Université. Accessed April 16, 2021.
http://www.theses.fr/2018AIXM0244.
MLA Handbook (7th Edition):
Snell, Joshua. “Readers are parallel processors : Le traitement en parallèle des mots pendant la lecture.” 2018. Web. 16 Apr 2021.
Vancouver:
Snell J. Readers are parallel processors : Le traitement en parallèle des mots pendant la lecture. [Internet] [Doctoral dissertation]. Aix Marseille Université 2018. [cited 2021 Apr 16].
Available from: http://www.theses.fr/2018AIXM0244.
Council of Science Editors:
Snell J. Readers are parallel processors : Le traitement en parallèle des mots pendant la lecture. [Doctoral Dissertation]. Aix Marseille Université 2018. Available from: http://www.theses.fr/2018AIXM0244
Victoria University of Wellington
4.
Wang, David X.
Quantifying Substitutability.
Degree: 2014, Victoria University of Wellington
URL: http://hdl.handle.net/10063/4411
► In this thesis, we will tackle the problem of how keyphrase extraction systems can be evaluated to reveal their true efficacy. The aim is to…
(more)
▼ In this thesis, we will tackle the problem of how keyphrase extraction systems can be evaluated to reveal their true efficacy. The aim is to develop a new semantically-oriented approximate string matching criteria, one that is comparable to human judgements, but without the cost and energy associated with manual evaluation. This matching criteria can also be adapted for any information retrieval (IR) system where the evaluation process involves comparing candidate strings (produced by the IR system) to a gold standard (created by humans). Our contributions are threefold. First, we define a new
semantic relationship called substitutability – how suitable a phrase is when used in place of another – and then design a generic system which measures/quantifies this relationship by exploiting the interlinking structure of external knowledge sources. Second, we develop two concrete substitutability systems based on our generic design: WordSub, which is backed by WordNet; and WikiSub, which is backed by Wikipedia. Third, we construct a dataset, with the help of human volunteers, that isolates the task of measuring substitutability. This dataset is then used to evaluate the performance of our substitutability systems, along with existing approximate string matching techniques, by comparing them using a set of agreement metrics. Our results clearly demonstrate that WordSub and WikiSub comfortably outperform current approaches to approximate string matching, including both lexical-based methods, such as R-precision; and semantically-oriented techniques, such as METEOR. In fact, WikiSub’s performance comes sensibly close to that of an average human volunteer, when comparing it to the optimistic (best-case) interhuman agreement.
Advisors/Committee Members: Gao, Xiaoyang, Andreae, Peter.
Subjects/Keywords: Semantic; Substitutability; NLP; Natrual Language Processing
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APA (6th Edition):
Wang, D. X. (2014). Quantifying Substitutability. (Masters Thesis). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/4411
Chicago Manual of Style (16th Edition):
Wang, David X. “Quantifying Substitutability.” 2014. Masters Thesis, Victoria University of Wellington. Accessed April 16, 2021.
http://hdl.handle.net/10063/4411.
MLA Handbook (7th Edition):
Wang, David X. “Quantifying Substitutability.” 2014. Web. 16 Apr 2021.
Vancouver:
Wang DX. Quantifying Substitutability. [Internet] [Masters thesis]. Victoria University of Wellington; 2014. [cited 2021 Apr 16].
Available from: http://hdl.handle.net/10063/4411.
Council of Science Editors:
Wang DX. Quantifying Substitutability. [Masters Thesis]. Victoria University of Wellington; 2014. Available from: http://hdl.handle.net/10063/4411
University of Windsor
5.
Al-Azary, Hamad.
Semantic Effects on Metaphor Processing Stages.
Degree: MS, Biological Sciences, 2014, University of Windsor
URL: https://scholar.uwindsor.ca/etd/5240
► Metaphors can be processed as comparisons or categorizations (Gibbs & Colston, 2012). The quality of metaphor hypothesis suggests that inapt metaphors are processed as…
(more)
▼ Metaphors can be processed as comparisons or categorizations (Gibbs & Colston, 2012). The quality of metaphor hypothesis suggests that inapt metaphors are processed as comparisons and apt metaphors are processed categorizations (Glucksberg & Haught, 2006). In two experiments, novel metaphors were manipulated on
semantic neighbourhood density (SND) and topic concreteness and presented to participants at two reading deadlines that are believed to characterize symmetric (e.g. comparison) and directional (e.g. categorization)
processing stages (e.g., Wolff & Gentner, 2011). Participants rated the comprehensibility of metaphors. The results suggest that low SND metaphors are processed as categorizations whereas high SND metaphors are processed as comparisons. In the case of metaphors made up of high SND, an abstract topic is more favourable for categorization than a concrete topic. A new model is proposed to explain how
semantic characteristics affect comparison and categorization processes.
Advisors/Committee Members: Buchanan, Lori.
Subjects/Keywords: Categorization; Comparison; Concreteness; Metaphor Processing; Semantic Richness
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APA (6th Edition):
Al-Azary, H. (2014). Semantic Effects on Metaphor Processing Stages. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/5240
Chicago Manual of Style (16th Edition):
Al-Azary, Hamad. “Semantic Effects on Metaphor Processing Stages.” 2014. Masters Thesis, University of Windsor. Accessed April 16, 2021.
https://scholar.uwindsor.ca/etd/5240.
MLA Handbook (7th Edition):
Al-Azary, Hamad. “Semantic Effects on Metaphor Processing Stages.” 2014. Web. 16 Apr 2021.
Vancouver:
Al-Azary H. Semantic Effects on Metaphor Processing Stages. [Internet] [Masters thesis]. University of Windsor; 2014. [cited 2021 Apr 16].
Available from: https://scholar.uwindsor.ca/etd/5240.
Council of Science Editors:
Al-Azary H. Semantic Effects on Metaphor Processing Stages. [Masters Thesis]. University of Windsor; 2014. Available from: https://scholar.uwindsor.ca/etd/5240
Hong Kong University of Science and Technology
6.
Lausen, Leonard Elias CSE.
Structured sparsity for pre-training distributed word representations with subword information.
Degree: 2019, Hong Kong University of Science and Technology
URL: http://repository.ust.hk/ir/Record/1783.1-100108
;
https://doi.org/10.14711/thesis-991012730263503412
;
http://repository.ust.hk/ir/bitstream/1783.1-100108/1/th_redirect.html
► Word representations obtained from large textual corpora have gained popularity in natural language processing as they can help to improve performance on supervised tasks for…
(more)
▼ Word representations obtained from large textual corpora have gained popularity in natural language processing as they can help to improve performance on supervised tasks for which only comparatively little labeled training data can be obtained (Turian, Ratinov, and Bengio 2010). Recently a series of scalable methods beginning with Word2Vec (Tomas Mikolov, Chen, et al. 2013) have enabled the learning from very large unlabeled corpora, obtaining better representations and representations for more words. The long-tail nature of human language – implying that most words are infrequent (Zipf 1949; Mandelbrot 1954) – however prevents these methods from representing infrequent words well (Lowe 2001; Luong, Socher, and Christopher D. Manning 2013). Considering that words are typically formed of meaningful parts, taking their structure into account was proposed as remedy (Harris 1954; Luong, Socher, and Christopher D. Manning 2013). Recently Bojanowski et al. (2017) proposed fastText, a scalable model incorporating such information. fastText allocates separate parameters for words and their parts, with part-specific parameters being shared among all words containing the respective part. However, parameters specific to rare words and rare word-parts are nevertheless estimated from little data and can suffer from unreliability and overfitting, impacting resulting word representations negatively. This thesis thus introduces a group lasso regularization (Yuan and Y. Lin 2006) to enable the selection of the words and word-parts jointly during training. Deselected parameters are pushed to 0, preventing negative impact on the resulting representation. For optimization a scalable proximal asynchronous stochastic gradient descent (ProxASGD) optimizer is introduced. The proposed method is evaluated on a variety of tasks and our results show that the regularization enables better representations for rare words and morphologically complex languages such as German. Providing separate regularization hyperparameters for words and word-parts, trading-off between inclusion of semantic and syntactic information is made possible.
Subjects/Keywords: Natural language processing (Computer science)
; Semantic memory
; Text processing (Computer science)
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APA ·
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APA (6th Edition):
Lausen, L. E. C. (2019). Structured sparsity for pre-training distributed word representations with subword information. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-100108 ; https://doi.org/10.14711/thesis-991012730263503412 ; http://repository.ust.hk/ir/bitstream/1783.1-100108/1/th_redirect.html
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Lausen, Leonard Elias CSE. “Structured sparsity for pre-training distributed word representations with subword information.” 2019. Thesis, Hong Kong University of Science and Technology. Accessed April 16, 2021.
http://repository.ust.hk/ir/Record/1783.1-100108 ; https://doi.org/10.14711/thesis-991012730263503412 ; http://repository.ust.hk/ir/bitstream/1783.1-100108/1/th_redirect.html.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Lausen, Leonard Elias CSE. “Structured sparsity for pre-training distributed word representations with subword information.” 2019. Web. 16 Apr 2021.
Vancouver:
Lausen LEC. Structured sparsity for pre-training distributed word representations with subword information. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2019. [cited 2021 Apr 16].
Available from: http://repository.ust.hk/ir/Record/1783.1-100108 ; https://doi.org/10.14711/thesis-991012730263503412 ; http://repository.ust.hk/ir/bitstream/1783.1-100108/1/th_redirect.html.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Lausen LEC. Structured sparsity for pre-training distributed word representations with subword information. [Thesis]. Hong Kong University of Science and Technology; 2019. Available from: http://repository.ust.hk/ir/Record/1783.1-100108 ; https://doi.org/10.14711/thesis-991012730263503412 ; http://repository.ust.hk/ir/bitstream/1783.1-100108/1/th_redirect.html
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Otago
7.
Shepherdson, Peter Vivian.
Redundancy Gain in Semantic Categorisation
.
Degree: 2013, University of Otago
URL: http://hdl.handle.net/10523/3754
► Redundancy gain refers to the common finding in experimental psychology that the presentation of multiple, redundant stimuli tends to evoke responses more quickly and accurately…
(more)
▼ Redundancy gain refers to the common finding in experimental psychology that the presentation of multiple, redundant stimuli tends to evoke responses more quickly and accurately when compared to presentation of a single stimulus. Two types of account of such findings are generally offered. First, race models suggest that redundancy gain is a result of statistical facilitation. Second, coactivation models suggest that redundancy gain results from each stimulus making some contribution to the eventual response.
Though redundancy gain has primarily been shown in relatively simple tasks (e.g., detection, perceptual discrimination), there have also been efforts to demonstrate comparable phenomena in tasks involving higher-order cognition. One example of this is in the work of Mohr and Pulvermüller in lexical decision tasks (LDTs) using redundant stimuli (e.g., Mohr, Pulvermüller, & Zaidel, 1994; Mohr, Pulvermüller, Rayman, & Zaidel, 1994; Mohr, Pulvermüller, Mittelstädt, & Rayman, 1996; Mohr, Endrass, Hauk, & Pulvermüller, 2007). Those authors explained redundancy gain in LDT on the basis of a cell assembly model of lexical representation (e.g., Pulvermüller & Mohr, 1996; Pulvermüller, 1999). According to this explanation, activity from redundant stimuli sums in the network of cells where the word is neurally represented, leading it to “ignite” more rapidly and effectively — a form of coactivation — which in turn leads to faster and more accurate responses.
I sought to determine whether a similar phenomenon would occur in a
semantic categorisation task, and whether the same basic model could be used to account for such findings. To investigate this issue, I conducted a series of experiments based on the LDTs used by Mohr and Pulvermüller. In my experiments participants were asked to classify visually-presented lexical stimuli as members or non-members of a pre-specified target category, and make the appropriate (“target present”/“targetabsent”) response.
Experiments 1–3 showed that redundancy gain can be demonstrated in a
semantic categorisation task, and that this can occur with both lateralised and nonlateralised stimulus presentation. The pattern of results from these experiments was strikingly similar to the results of Mohr et al. (1996): improved performance in redundant trials, and an advantage for stimuli presented in the right visual field over those presented to the left visual field when display was lateralised. I also found redundancy gains and visual field effects for “target-present” but not “target-absent” responses, analogous to findings in LDTs for “word” and “non-word” responses, respectively.
Experiment 4 showed that performance in LVF trials does not improve substantially when participants are allowed longer to respond, suggesting that the high error rates in that condition in preceding experiments are likely a result of data rather than resource-limited
processing. Experiment 5 showed that visual field effects in target-present trials are absent when stimuli are presented vertically rather than…
Advisors/Committee Members: Miller, Jeff (advisor).
Subjects/Keywords: redundancy gain;
semantic processing;
semantic memory;
race model;
coactivation;
cell assembly;
categorisation
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APA ·
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Manager
APA (6th Edition):
Shepherdson, P. V. (2013). Redundancy Gain in Semantic Categorisation
. (Doctoral Dissertation). University of Otago. Retrieved from http://hdl.handle.net/10523/3754
Chicago Manual of Style (16th Edition):
Shepherdson, Peter Vivian. “Redundancy Gain in Semantic Categorisation
.” 2013. Doctoral Dissertation, University of Otago. Accessed April 16, 2021.
http://hdl.handle.net/10523/3754.
MLA Handbook (7th Edition):
Shepherdson, Peter Vivian. “Redundancy Gain in Semantic Categorisation
.” 2013. Web. 16 Apr 2021.
Vancouver:
Shepherdson PV. Redundancy Gain in Semantic Categorisation
. [Internet] [Doctoral dissertation]. University of Otago; 2013. [cited 2021 Apr 16].
Available from: http://hdl.handle.net/10523/3754.
Council of Science Editors:
Shepherdson PV. Redundancy Gain in Semantic Categorisation
. [Doctoral Dissertation]. University of Otago; 2013. Available from: http://hdl.handle.net/10523/3754
University of Georgia
8.
Hooge, David Carl.
Extraction and indexing of triplet-based knowledge using natural language processing.
Degree: 2014, University of Georgia
URL: http://hdl.handle.net/10724/23864
► A proper understanding of any document relies heavily upon two things: an understanding of the relationships between terms and a grasp of the manner in…
(more)
▼ A proper understanding of any document relies heavily upon two things: an understanding of the relationships between terms and a grasp of the manner in which language relates one term to another. For example a full comprehension of the
sentence “Jane plays basketball” requires the reader to first understand that Jane is related to basketball by her taking part in this activity; second, the reader must have an understanding that of how basketball relates to other terms. Thus, for a full
grasp of the sentence the reader must be aware that basketball is a sport among other things. These two understandings are missing from current search and storage methodologies and are instead largely replaced with word distance measures. As such the
only relation stored by most modern methods is that the word “Jane” appears near the word “basketball.” Our system remedies these two problems through both relationship recognition as well as a grasp of how concepts relate to one another as in the
linking of “sports” to “basketball.” This allows for automated semantic information storage and beyond this enables storage of information in a manner that resembles the structure of language.
Subjects/Keywords: Natural Language Semantic Store; Semantic Web; Ontologies; RDF; Indexing; Natural Language Processing
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APA (6th Edition):
Hooge, D. C. (2014). Extraction and indexing of triplet-based knowledge using natural language processing. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/23864
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Hooge, David Carl. “Extraction and indexing of triplet-based knowledge using natural language processing.” 2014. Thesis, University of Georgia. Accessed April 16, 2021.
http://hdl.handle.net/10724/23864.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Hooge, David Carl. “Extraction and indexing of triplet-based knowledge using natural language processing.” 2014. Web. 16 Apr 2021.
Vancouver:
Hooge DC. Extraction and indexing of triplet-based knowledge using natural language processing. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Apr 16].
Available from: http://hdl.handle.net/10724/23864.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Hooge DC. Extraction and indexing of triplet-based knowledge using natural language processing. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/23864
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
9.
De Clercq, Orphée.
Tipping the scales: exploring the added value of deep semantic processing on readability prediction and sentiment analysis.
Degree: 2015, Ghent University
URL: http://hdl.handle.net/1854/LU-6863734
► Applications which make use of natural language processing (NLP) are said to benefit more from incorporating a rich model of text meaning than from a…
(more)
▼ Applications which make use of natural language
processing (NLP) are said to benefit more from incorporating a rich model of text meaning than from a basic representation in the form of bag-of-words. This thesis set out to explore the added value of incorporating deep
semantic information in two end-user applications that normally rely mostly on superficial and lexical information, viz. readability prediction and aspect-based sentiment analysis. For both applications we apply supervised machine learning techniques and focus on the incorporation of coreference and
semantic role information.
To this purpose, we adapted a Dutch coreference resolution system and developed a
semantic role labeler for Dutch. We tested the cross-genre robustness of both systems and in a next phase retrained them on a large corpus comprising a variety of text genres.
For the readability prediction task, we first built a general-purpose corpus consisting of a large variety of text genres which was then assessed on readability. Moreover, we proposed an assessment technique which has not previously been used in readability assessment, namely crowdsourcing, and revealed that crowdsourcing is a viable alternative to the more traditional assessment technique of having experts assign labels.
We built the first state-of-the-art classification-based readability prediction system relying on a rich feature space of traditional, lexical, syntactic and shallow
semantic features. Furthermore, we enriched this tool by introducing new features based on coreference resolution and
semantic role labeling. We then explored the added value of incorporating this deep
semantic information by performing two different rounds of experiments. In the first round these features were manually in- or excluded and in the second round joint optimization experiments were performed using a wrapper-based feature selection system based on genetic algorithms. In both setups, we investigated whether there was a difference in performance when these features were derived from gold standard information compared to when they were automatically generated, which allowed us to assess the true upper bound of incorporating this type of information.
Our results revealed that readability classification definitely benefits from the incorporation of
semantic information in the form of coreference and
semantic role features. More precisely, we found that the best results for both tasks were achieved after jointly optimizing the hyperparameters and
semantic features using genetic algorithms. Contrary to our expectations, we observed that our system achieved its best performance when relying on the automatically predicted deep
semantic features. This is an interesting result, as our ultimate goal is to predict readability based exclusively on automatically-derived information sources.
For the aspect-based sentiment analysis task, we developed the first Dutch end-to-end system. We therefore collected a corpus of Dutch restaurant reviews and annotated each review with aspect term expressions and…
Advisors/Committee Members: Hoste, Veronique, Colleman, Timothy.
Subjects/Keywords: Languages and Literatures; deep semantic processing; semantic role labeling; readability prediction; coreference resolution; sentiment analysis
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APA (6th Edition):
De Clercq, O. (2015). Tipping the scales: exploring the added value of deep semantic processing on readability prediction and sentiment analysis. (Thesis). Ghent University. Retrieved from http://hdl.handle.net/1854/LU-6863734
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
De Clercq, Orphée. “Tipping the scales: exploring the added value of deep semantic processing on readability prediction and sentiment analysis.” 2015. Thesis, Ghent University. Accessed April 16, 2021.
http://hdl.handle.net/1854/LU-6863734.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
De Clercq, Orphée. “Tipping the scales: exploring the added value of deep semantic processing on readability prediction and sentiment analysis.” 2015. Web. 16 Apr 2021.
Vancouver:
De Clercq O. Tipping the scales: exploring the added value of deep semantic processing on readability prediction and sentiment analysis. [Internet] [Thesis]. Ghent University; 2015. [cited 2021 Apr 16].
Available from: http://hdl.handle.net/1854/LU-6863734.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
De Clercq O. Tipping the scales: exploring the added value of deep semantic processing on readability prediction and sentiment analysis. [Thesis]. Ghent University; 2015. Available from: http://hdl.handle.net/1854/LU-6863734
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Virginia Commonwealth University
10.
Henry, Sam.
Indirect Relatedness, Evaluation, and Visualization for Literature Based Discovery.
Degree: PhD, Computer Science, 2019, Virginia Commonwealth University
URL: https://doi.org/10.25772/C1P9-WG56
;
https://scholarscompass.vcu.edu/etd/5855
► The exponential growth of scientific literature is creating an increased need for systems to process and assimilate knowledge contained within text. Literature Based Discovery…
(more)
▼ The exponential growth of scientific literature is creating an increased need for systems to process and assimilate knowledge contained within text. Literature Based Discovery (LBD) is a well established field that seeks to synthesize new knowledge from existing literature, but it has remained primarily in the theoretical realm rather than in real-world application. This lack of real-world adoption is due in part to the difficulty of LBD, but also due to several solvable problems present in LBD today. Of these problems, the ones in most critical need of improvement are: (1) the over-generation of knowledge by LBD systems, (2) a lack of meaningful evaluation standards, and (3) the difficulty interpreting LBD output. We address each of these problems by: (1) developing indirect relatedness measures for ranking and filtering LBD hypotheses; (2) developing a representative evaluation dataset and applying meaningful evaluation methods to individual components of LBD; (3) developing an interactive visualization system that allows a user to explore LBD output in its entirety. In addressing these problems, we make several contributions, most importantly: (1) state of the art results for estimating direct
semantic relatedness, (2) development of set association measures, (3) development of indirect association measures, (4) development of a standard LBD evaluation dataset, (5) division of LBD into discrete components with well defined evaluation methods, (6) development of automatic functional group discovery, and (7) integration of indirect relatedness measures and automatic functional group discovery into a comprehensive LBD visualization system. Our results inform future development of LBD systems, and contribute to creating more effective LBD systems.
Advisors/Committee Members: Dr. Bridget McInnes, Dr. Alberto Cano, Dr. Dayanjan S. Wijesinghe, Dr. Halil Kilicoglu, Dr. Than Dinh.
Subjects/Keywords: Literature Based Discovery; Semantic Association; Semantic Relatedness; Natural Language Processing; Data Mining; Text Processing; Text Mining; Other Computer Sciences
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APA ·
Chicago ·
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APA (6th Edition):
Henry, S. (2019). Indirect Relatedness, Evaluation, and Visualization for Literature Based Discovery. (Doctoral Dissertation). Virginia Commonwealth University. Retrieved from https://doi.org/10.25772/C1P9-WG56 ; https://scholarscompass.vcu.edu/etd/5855
Chicago Manual of Style (16th Edition):
Henry, Sam. “Indirect Relatedness, Evaluation, and Visualization for Literature Based Discovery.” 2019. Doctoral Dissertation, Virginia Commonwealth University. Accessed April 16, 2021.
https://doi.org/10.25772/C1P9-WG56 ; https://scholarscompass.vcu.edu/etd/5855.
MLA Handbook (7th Edition):
Henry, Sam. “Indirect Relatedness, Evaluation, and Visualization for Literature Based Discovery.” 2019. Web. 16 Apr 2021.
Vancouver:
Henry S. Indirect Relatedness, Evaluation, and Visualization for Literature Based Discovery. [Internet] [Doctoral dissertation]. Virginia Commonwealth University; 2019. [cited 2021 Apr 16].
Available from: https://doi.org/10.25772/C1P9-WG56 ; https://scholarscompass.vcu.edu/etd/5855.
Council of Science Editors:
Henry S. Indirect Relatedness, Evaluation, and Visualization for Literature Based Discovery. [Doctoral Dissertation]. Virginia Commonwealth University; 2019. Available from: https://doi.org/10.25772/C1P9-WG56 ; https://scholarscompass.vcu.edu/etd/5855
Kyoto University / 京都大学
11.
Jin, Gongye.
High-quality Knowledge Acquisition of Predicate-argument Structures for Syntactic and Semantic Analysis : 構文・意味解析のための高品質な述語項構造知識の獲得.
Degree: 博士(情報学), 2016, Kyoto University / 京都大学
URL: http://hdl.handle.net/2433/215677
;
http://dx.doi.org/10.14989/doctor.k19850
► If the author of the published paper digitizes such paper and releases it to third parties using digital media such as computer networks or CD-ROMs,…
(more)
▼ If the author of the published paper digitizes such paper and releases it to third parties using digital media such as computer networks or CD-ROMs, the volume, number, and pages of the Journal of Natural Language Processing of the publication must be indicated in a clear manner for all viewers.
新制・課程博士
甲第19850号
情博第601号
Subjects/Keywords: natural language processing; knowledge acquisition; semantic role labeling; case frame construction; Chinese language processing
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APA (6th Edition):
Jin, G. (2016). High-quality Knowledge Acquisition of Predicate-argument Structures for Syntactic and Semantic Analysis : 構文・意味解析のための高品質な述語項構造知識の獲得. (Thesis). Kyoto University / 京都大学. Retrieved from http://hdl.handle.net/2433/215677 ; http://dx.doi.org/10.14989/doctor.k19850
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Jin, Gongye. “High-quality Knowledge Acquisition of Predicate-argument Structures for Syntactic and Semantic Analysis : 構文・意味解析のための高品質な述語項構造知識の獲得.” 2016. Thesis, Kyoto University / 京都大学. Accessed April 16, 2021.
http://hdl.handle.net/2433/215677 ; http://dx.doi.org/10.14989/doctor.k19850.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Jin, Gongye. “High-quality Knowledge Acquisition of Predicate-argument Structures for Syntactic and Semantic Analysis : 構文・意味解析のための高品質な述語項構造知識の獲得.” 2016. Web. 16 Apr 2021.
Vancouver:
Jin G. High-quality Knowledge Acquisition of Predicate-argument Structures for Syntactic and Semantic Analysis : 構文・意味解析のための高品質な述語項構造知識の獲得. [Internet] [Thesis]. Kyoto University / 京都大学; 2016. [cited 2021 Apr 16].
Available from: http://hdl.handle.net/2433/215677 ; http://dx.doi.org/10.14989/doctor.k19850.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Jin G. High-quality Knowledge Acquisition of Predicate-argument Structures for Syntactic and Semantic Analysis : 構文・意味解析のための高品質な述語項構造知識の獲得. [Thesis]. Kyoto University / 京都大学; 2016. Available from: http://hdl.handle.net/2433/215677 ; http://dx.doi.org/10.14989/doctor.k19850
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Addis Ababa University
12.
Eneyachew, Tamir.
AUTOMATIC SEMANTIC VIDEO OBJECT SEGMENTATION
.
Degree: 2008, Addis Ababa University
URL: http://etd.aau.edu.et/dspace/handle/123456789/4435
► Content-based video processing is one of the methods considered to meet the demands of newly emerging multimedia applications. For content-based processing, video has to be…
(more)
▼ Content-based video
processing is one of the methods considered to meet the demands of
newly emerging multimedia applications. For content-based
processing, video has to be
segmented into meaningful objects –
semantic video objects. Many applications require
automatic segmentation (AS) of
semantic video objects. However, AS is very challenging
task.
In this thesis, an effective AS system is proposed by examining, selecting and combining
efficient and simplified techniques that are justified with theoretical analysis. The proposed
system is developed and tested with the following three cases depending on whether there
exists camera motion or not in video sequences, and whether there is an initial background
reference frame. Case-1 is for video sequences with no camera motion and with initial
background reference frame, Case-2 is for video sequences where there is no camera motion
and no initial background reference frame, and Case-3 is for video sequences with camera
motion.
Change detection is used as the main step in each of the cases to detect
semantic objects and
to produce object mask. Different problems in change detection like “uncovered
background”, “global motion of background (GMOB)” and “camera noise” are identified and
solved. Two change detection results are combined to remove the uncovered background
problem. More emphasis is made for the problem of GMOB. A 3-level block-based
hierarchical motion estimation and affine parameter model for frame warping is used to solve
this problem. Camera noise is removed by using model-based change detection.
For post-
processing to improve the resulting change detection masks, a new filling-in
technique is proposed. This technique is used to fill open areas inside object regions with
uniform intensity. To improve the boundary of segmentation masks, morphological open
close operations are used. The final
semantic video objects are obtained by superimposing the
resulting mask over the original frame.
x
Test results show that the system effectively identified and segmented the
semantic objects.
Subjective evaluation of results for the three cases showed that among the window sizes used
in change detection, 5x5 and 7x7 produced better and comparable results in terms of visual
quality and boundary smoothness. These results are obtained after applying one pair of open
close operation in Case-1 and two pairs in Case-2 and Case-3.
Based on subjective comparison of results with other systems, 80% of observations for the
results of Case-1 and 100% for Case-2 reported more pleasing results with smooth boundary.
Advisors/Committee Members: Dr Kumudha Raimond (advisor).
Subjects/Keywords: content-based video processing;
automatic segmentation;
semantic video objects;
change detection;
motion estimation;
post-processing
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Manager
APA (6th Edition):
Eneyachew, T. (2008). AUTOMATIC SEMANTIC VIDEO OBJECT SEGMENTATION
. (Thesis). Addis Ababa University. Retrieved from http://etd.aau.edu.et/dspace/handle/123456789/4435
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Eneyachew, Tamir. “AUTOMATIC SEMANTIC VIDEO OBJECT SEGMENTATION
.” 2008. Thesis, Addis Ababa University. Accessed April 16, 2021.
http://etd.aau.edu.et/dspace/handle/123456789/4435.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Eneyachew, Tamir. “AUTOMATIC SEMANTIC VIDEO OBJECT SEGMENTATION
.” 2008. Web. 16 Apr 2021.
Vancouver:
Eneyachew T. AUTOMATIC SEMANTIC VIDEO OBJECT SEGMENTATION
. [Internet] [Thesis]. Addis Ababa University; 2008. [cited 2021 Apr 16].
Available from: http://etd.aau.edu.et/dspace/handle/123456789/4435.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Eneyachew T. AUTOMATIC SEMANTIC VIDEO OBJECT SEGMENTATION
. [Thesis]. Addis Ababa University; 2008. Available from: http://etd.aau.edu.et/dspace/handle/123456789/4435
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Wayne State University
13.
Van Havermaet, Lisa Ruth.
Semantic Effects In Word Recognition And Picture Naming Are Moderated By Body-Object Interaction.
Degree: PhD, Psychology, 2013, Wayne State University
URL: https://digitalcommons.wayne.edu/oa_dissertations/711
► A potential embodied influence in the semantic effects of Danger and Usefulness is investigated using Body-Object Interaction (BOI). Lexical decision times are influenced by…
(more)
▼ A potential embodied influence in the
semantic effects of Danger and Usefulness is investigated using Body-Object Interaction (BOI). Lexical decision times are influenced by ratings of Danger and Usefulness. In a frequently-found interaction, thought to be produced by activated approach-withdraw motor responses, increasing Danger ratings produce faster responses for items with lower Usefulness ratings while producing slower responses for items with higher Usefulness ratings. BOI is used to test the embodied explanation of this interaction. The same 102 words were presented in two lexical decision experiments. In both auditory and visual lexical decision, the effects of Danger and Usefulness were found to be larger for items with lower BOI ratings. BOI moderates Danger and Usefulness effects in both auditory and visual lexical decision, in a way that suggests BOI is either the stronger or the temporally earlier effect. In addition, a picture naming study was done using 101 items, looking at the same relationship. Picture naming results showed a stronger effect of Danger and Usefulness in items that are higher BOI rating suggesting there may be differences based on task modality or that the pattern may reflect response oscillation.
Advisors/Committee Members: Lee H. Wurm.
Subjects/Keywords: Body-Object Interaction; embodied cognition; lexical decision; semantic processing; survival processing; word recognition; Cognitive Psychology
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APA (6th Edition):
Van Havermaet, L. R. (2013). Semantic Effects In Word Recognition And Picture Naming Are Moderated By Body-Object Interaction. (Doctoral Dissertation). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_dissertations/711
Chicago Manual of Style (16th Edition):
Van Havermaet, Lisa Ruth. “Semantic Effects In Word Recognition And Picture Naming Are Moderated By Body-Object Interaction.” 2013. Doctoral Dissertation, Wayne State University. Accessed April 16, 2021.
https://digitalcommons.wayne.edu/oa_dissertations/711.
MLA Handbook (7th Edition):
Van Havermaet, Lisa Ruth. “Semantic Effects In Word Recognition And Picture Naming Are Moderated By Body-Object Interaction.” 2013. Web. 16 Apr 2021.
Vancouver:
Van Havermaet LR. Semantic Effects In Word Recognition And Picture Naming Are Moderated By Body-Object Interaction. [Internet] [Doctoral dissertation]. Wayne State University; 2013. [cited 2021 Apr 16].
Available from: https://digitalcommons.wayne.edu/oa_dissertations/711.
Council of Science Editors:
Van Havermaet LR. Semantic Effects In Word Recognition And Picture Naming Are Moderated By Body-Object Interaction. [Doctoral Dissertation]. Wayne State University; 2013. Available from: https://digitalcommons.wayne.edu/oa_dissertations/711
University of Toronto
14.
Durham, Nicole Ann Marie.
The Impact of Spoken Semantic Threat on Cognitive and Linguistic Processing Involved in Spoken Language Following a Traumatic Brain Injury (TBI).
Degree: PhD, 2018, University of Toronto
URL: http://hdl.handle.net/1807/89727
► A traumatic brain injury (TBI) significantly impacts many functions, with changes in emotional and social behaviours being among the most debilitating consequences. Accruing literature attests…
(more)
▼ A traumatic brain injury (TBI) significantly impacts many functions, with changes in emotional and social behaviours being among the most debilitating consequences. Accruing literature attests to emotion
processing deficits in this population, with a particular impairment in
processing negative emotions (including
semantic threat) across visual and auditory modalities (Bornhofen McDonald, 2008; Croker McDonald, 2005; Maki-Marttunen et al., 2015). Impairments in
processing negative emotions may lead to problems in interpersonal interactions, which could significantly impact the quality of life for individuals with TBI (Dijkers, 2004; Henry, Phillips, Crawford, Theodorous Summers, 2006). Despite the growing prevalence of emotion
processing deficits in the TBI population, there is still a paucity of research investigating the extent and nature of these deficits. Importantly, no study to date has directly examined the impact of spoken
semantic threat, particularly in the context of how it may hinder cognitive and linguistic processes used in spoken language as part of everyday conversation. Thus, a novel paradigm known as the Linguistic Acoustic ThreaT Effect (LATTE) was employed in three experimental studies to examine this impact in more detail. Results from Study 1 showed that individuals with TBI were impacted by spoken
semantic threat to a greater extent than healthy matched controls. Results from Study 2 showed that the threat effect has a physiological basis in terms of increased autonomic arousal and varies in the extent of the impact based on the content of threat presented. Lastly, the results of Study 3 demonstrated that
semantic threat seems to have a critical period during which it exerts its impact, and is most observable during the stages of speech
processing following the immediate presentation of the verbal threat, as tested in our sequence of tasks. Taken together, our results reveal important information on the impact of
semantic threat on cognitive and linguistic processes used in spoken language after TBI. Our findings could have potential implications for the training of rehabilitation clinicians and researchers regarding emotion expression when communicating with individuals with TBI.
Advisors/Committee Members: van Lieshout, Pascal, Rehabilitation Science.
Subjects/Keywords: cognition; emotion processing; language; semantic threat; speech processing; traumatic brain injury; 0633
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APA ·
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APA (6th Edition):
Durham, N. A. M. (2018). The Impact of Spoken Semantic Threat on Cognitive and Linguistic Processing Involved in Spoken Language Following a Traumatic Brain Injury (TBI). (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/89727
Chicago Manual of Style (16th Edition):
Durham, Nicole Ann Marie. “The Impact of Spoken Semantic Threat on Cognitive and Linguistic Processing Involved in Spoken Language Following a Traumatic Brain Injury (TBI).” 2018. Doctoral Dissertation, University of Toronto. Accessed April 16, 2021.
http://hdl.handle.net/1807/89727.
MLA Handbook (7th Edition):
Durham, Nicole Ann Marie. “The Impact of Spoken Semantic Threat on Cognitive and Linguistic Processing Involved in Spoken Language Following a Traumatic Brain Injury (TBI).” 2018. Web. 16 Apr 2021.
Vancouver:
Durham NAM. The Impact of Spoken Semantic Threat on Cognitive and Linguistic Processing Involved in Spoken Language Following a Traumatic Brain Injury (TBI). [Internet] [Doctoral dissertation]. University of Toronto; 2018. [cited 2021 Apr 16].
Available from: http://hdl.handle.net/1807/89727.
Council of Science Editors:
Durham NAM. The Impact of Spoken Semantic Threat on Cognitive and Linguistic Processing Involved in Spoken Language Following a Traumatic Brain Injury (TBI). [Doctoral Dissertation]. University of Toronto; 2018. Available from: http://hdl.handle.net/1807/89727
15.
Evans, Gwennant Mai.
Bilingual semantics : intra- and inter-sense mapping in the case of two languages.
Degree: PhD, 2021, Bangor University
URL: https://research.bangor.ac.uk/portal/en/theses/bilingual-semantics-intra-and-intersense-mapping-in-the-case-of-two-languages(9586337b-0c52-4103-95f3-5c64c74a3078).html
;
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.823980
► Despite large strides in our understanding of bilingual language processing at the lexical and syntactic level, including activation in L1/L2 and co-activation of languages (RHM,…
(more)
▼ Despite large strides in our understanding of bilingual language processing at the lexical and syntactic level, including activation in L1/L2 and co-activation of languages (RHM, Kroll and Stewart, 1994; BIA - Dijkstra & Van Heuven & Grainger, 1998; BIA+, Dijkstra & Van Heuven, 2002), relatively little is known about the structure and activation of bilingual semantics. Current models provide at best a sketchy account of how the two languages compare and potentially interact at the level of meaning (The Sense Model, Finkbeiner et al, 2004; The distributed Feature Model, de Groot, 1992), and it is imperative that more empirical work is done to ascertain a more detailed picture of bilingual semantics (Multilink, Dijkstra et al, 2018). The empirical work presented in this thesis therefore aims to examine whether stronger conceptual links in the L1 afford less processing effort to achieve intra-sense conceptual mapping than in L2 (Part 1), and whether the bilingual inter-sense mapping includes co-activations of meaning (Part 2). Crucially, we use sentence processing throughout in a bid to provide an account of bilingual semantics beyond the lexical level.
Subjects/Keywords: Bilingualism; ERP; Sentence processing; Figurative language; Literal language; N400; P600; semantics; semantic processing; EEG
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APA (6th Edition):
Evans, G. M. (2021). Bilingual semantics : intra- and inter-sense mapping in the case of two languages. (Doctoral Dissertation). Bangor University. Retrieved from https://research.bangor.ac.uk/portal/en/theses/bilingual-semantics-intra-and-intersense-mapping-in-the-case-of-two-languages(9586337b-0c52-4103-95f3-5c64c74a3078).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.823980
Chicago Manual of Style (16th Edition):
Evans, Gwennant Mai. “Bilingual semantics : intra- and inter-sense mapping in the case of two languages.” 2021. Doctoral Dissertation, Bangor University. Accessed April 16, 2021.
https://research.bangor.ac.uk/portal/en/theses/bilingual-semantics-intra-and-intersense-mapping-in-the-case-of-two-languages(9586337b-0c52-4103-95f3-5c64c74a3078).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.823980.
MLA Handbook (7th Edition):
Evans, Gwennant Mai. “Bilingual semantics : intra- and inter-sense mapping in the case of two languages.” 2021. Web. 16 Apr 2021.
Vancouver:
Evans GM. Bilingual semantics : intra- and inter-sense mapping in the case of two languages. [Internet] [Doctoral dissertation]. Bangor University; 2021. [cited 2021 Apr 16].
Available from: https://research.bangor.ac.uk/portal/en/theses/bilingual-semantics-intra-and-intersense-mapping-in-the-case-of-two-languages(9586337b-0c52-4103-95f3-5c64c74a3078).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.823980.
Council of Science Editors:
Evans GM. Bilingual semantics : intra- and inter-sense mapping in the case of two languages. [Doctoral Dissertation]. Bangor University; 2021. Available from: https://research.bangor.ac.uk/portal/en/theses/bilingual-semantics-intra-and-intersense-mapping-in-the-case-of-two-languages(9586337b-0c52-4103-95f3-5c64c74a3078).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.823980
NSYSU
16.
Huang, Yu-Ching.
A Study of Emotional Text Mining.
Degree: Master, Information Management, 2017, NSYSU
URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0113117-150008
► Readers who touched by the texts in various novels always exhibit mood swings. The choice of words made by different authors makes the writing style…
(more)
▼ Readers who touched by the texts in various novels always exhibit mood swings. The choice of words made by different authors makes the writing style of the article unique. Some of the authors may even become a role model leading the contemporary trend. However, the amount of emotional words, its usage frequency and intensity may also affect every readerâs mind regardless of the plot. As for an author, thereâs slightly difference between various types of literature for how to touch readers and make their piece of work a best-selling book.
Therefore, we are trying to analysis Charles Dickensâ fictionãGreat Expectationsã for understanding the influence of emotional words, its usage frequency and intensity for readers based on calculating Plutchikâs eight basic emotions with grammar and observing the change of emotion flow in chapter, which is much precise on explaining emotional changes than simple calculation with positive and negative scores.
Advisors/Committee Members: Bing-Chiang Jeng (chair), Wei-Po Lee (committee member), Yuh-Jiuan Tsay (chair).
Subjects/Keywords: Sentiment Analysis; Text Mining; Natural Language Processing; Latent Semantic Analysis
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APA (6th Edition):
Huang, Y. (2017). A Study of Emotional Text Mining. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0113117-150008
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Huang, Yu-Ching. “A Study of Emotional Text Mining.” 2017. Thesis, NSYSU. Accessed April 16, 2021.
http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0113117-150008.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Huang, Yu-Ching. “A Study of Emotional Text Mining.” 2017. Web. 16 Apr 2021.
Vancouver:
Huang Y. A Study of Emotional Text Mining. [Internet] [Thesis]. NSYSU; 2017. [cited 2021 Apr 16].
Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0113117-150008.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Huang Y. A Study of Emotional Text Mining. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0113117-150008
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Alberta
17.
Hassanzadeh, Kimia.
Converting Textual Documents to RDF Triples, Covering
Syntactic and Semantic Structures.
Degree: MS, Department of Electrical and Computer
Engineering, 2013, University of Alberta
URL: https://era.library.ualberta.ca/files/9g54xk29g
► An important contribution of the Semantic Web is a new format of data representation called Resource Description Framework (RDF). In RDF every piece of information…
(more)
▼ An important contribution of the Semantic Web is a new
format of data representation called Resource Description Framework
(RDF). In RDF every piece of information is represented by a
triple: . RDFs are densely interlinked between each other and are
becoming very popular format of representing data on the web. As of
August 2011, the last available data, more than 31 billion of
triples exist on the web. In this set of work, we propose a system
for information extraction from plain text in form of RDF triples.
The proposed method is independent of prior knowledge-base and
domain-specific patterns, and is applicable to any textual
resources. Our approach is capable of identifying grammatical
structure of an input sentence and analyzing its semantic to
generate meaningful RDF triples of information, readable by human
users and software agents. Through several experiments, we evaluate
this approach by demonstrating the quality of our
results.
Subjects/Keywords: Semantic Web; RDF; Linked Data; Data Graph; Text Processing
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Hassanzadeh, K. (2013). Converting Textual Documents to RDF Triples, Covering
Syntactic and Semantic Structures. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/9g54xk29g
Chicago Manual of Style (16th Edition):
Hassanzadeh, Kimia. “Converting Textual Documents to RDF Triples, Covering
Syntactic and Semantic Structures.” 2013. Masters Thesis, University of Alberta. Accessed April 16, 2021.
https://era.library.ualberta.ca/files/9g54xk29g.
MLA Handbook (7th Edition):
Hassanzadeh, Kimia. “Converting Textual Documents to RDF Triples, Covering
Syntactic and Semantic Structures.” 2013. Web. 16 Apr 2021.
Vancouver:
Hassanzadeh K. Converting Textual Documents to RDF Triples, Covering
Syntactic and Semantic Structures. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2021 Apr 16].
Available from: https://era.library.ualberta.ca/files/9g54xk29g.
Council of Science Editors:
Hassanzadeh K. Converting Textual Documents to RDF Triples, Covering
Syntactic and Semantic Structures. [Masters Thesis]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/9g54xk29g
Universiteit Utrecht
18.
Werff, M.J. van der (Majoke).
Processing of fast speech by older listeners: Benefit from semantic context and prosody?.
Degree: 2007, Universiteit Utrecht
URL: http://dspace.library.uu.nl:8080/handle/1874/25543
► In this study, perception of time-compressed speech by older listeners was investigated. The aim of the study was to find out whether elderly people relied…
(more)
▼ In this study, perception of time-compressed speech by older listeners was investigated.
The aim of the study was to find out whether elderly people relied more on
semantic context and sentence prosody when speech was time-compressed. This was investigated by means of a listening experiment containing a word recognition task and a speech rate judgement task. Furthermore, the influence of age-related hearing loss and cognitive decline on the perception of time-compressed speech was investigated.
Advisors/Committee Members: Janse, Esther, Quené, Hugo.
Subjects/Keywords: Letteren; spoken word processing; fast speech; aging; semantic context; prosody; hearing
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Export
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APA (6th Edition):
Werff, M. J. v. d. (. (2007). Processing of fast speech by older listeners: Benefit from semantic context and prosody?. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/25543
Chicago Manual of Style (16th Edition):
Werff, M J van der (Majoke). “Processing of fast speech by older listeners: Benefit from semantic context and prosody?.” 2007. Masters Thesis, Universiteit Utrecht. Accessed April 16, 2021.
http://dspace.library.uu.nl:8080/handle/1874/25543.
MLA Handbook (7th Edition):
Werff, M J van der (Majoke). “Processing of fast speech by older listeners: Benefit from semantic context and prosody?.” 2007. Web. 16 Apr 2021.
Vancouver:
Werff MJvd(. Processing of fast speech by older listeners: Benefit from semantic context and prosody?. [Internet] [Masters thesis]. Universiteit Utrecht; 2007. [cited 2021 Apr 16].
Available from: http://dspace.library.uu.nl:8080/handle/1874/25543.
Council of Science Editors:
Werff MJvd(. Processing of fast speech by older listeners: Benefit from semantic context and prosody?. [Masters Thesis]. Universiteit Utrecht; 2007. Available from: http://dspace.library.uu.nl:8080/handle/1874/25543
University of Edinburgh
19.
Sabnis, Prerana.
Effects of Syntactic Interference and Animacy in Sentence Processing using Event-related Brain Potentials.
Degree: 2013, University of Edinburgh
URL: http://hdl.handle.net/1842/8600
► Successful comprehension of language requires the parser to put together appropriate constituents of a sentence, despite the presence of intervening constituents. The joining of appropriate…
(more)
▼ Successful comprehension of language requires the parser to put together appropriate constituents of a sentence, despite the presence of intervening constituents. The joining of appropriate constituents is often done by the retrieval of constituents of a sentence and guided by the grammatical rules of a language. Often, the retrieval of constituents is aided by other cues in the sentence. However, many a times the syntactic structure and/or
semantic features of a sentence might cause interference affecting the aiding cues, and challenge the parser’s prior grammatical knowledge; thus creating momentary confusion in joining the appropriate constituents. In this study we have attempted to study the effects of syntactic interference on sentence comprehension. Syntactic structures were manipulated to match to form two levels of difficulty – High and Low. An additional manipulation of animacy (a
semantic feature) was added to the sentences in both high and low syntactic interference conditions. Thus, we were able to study possible effects of
semantic interference as well. Additionally, based on previous research, we have also attempted to understand possible differences in sentence comprehension as a function of working memory capacity. Contrary to the expected P600 expected as a result of syntactic violation, and the sustained negativity as a result of referential ambiguity, an N400 was observed. The N400 could reflect the role of animacy (a
semantic feature) as stronger retrieval cues than syntactic structure. An evident difference was also found in comprehending sentences as a function of working memory capacity. While the low span readers showed significant effects of both syntactic interference and animacy, the high span readers showed no difference between the two. Thus, this study shows unique role of
semantic features such as animacy as stronger retrieval cues; and the difference in sentence comprehension based on working memory capacity.
Advisors/Committee Members: Martin, Andrea.
Subjects/Keywords: ERPs; Syntactic Interference; Sentence Processing; Animacy; Semantic Interference
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APA ·
Chicago ·
MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Sabnis, P. (2013). Effects of Syntactic Interference and Animacy in Sentence Processing using Event-related Brain Potentials. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/8600
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Sabnis, Prerana. “Effects of Syntactic Interference and Animacy in Sentence Processing using Event-related Brain Potentials.” 2013. Thesis, University of Edinburgh. Accessed April 16, 2021.
http://hdl.handle.net/1842/8600.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Sabnis, Prerana. “Effects of Syntactic Interference and Animacy in Sentence Processing using Event-related Brain Potentials.” 2013. Web. 16 Apr 2021.
Vancouver:
Sabnis P. Effects of Syntactic Interference and Animacy in Sentence Processing using Event-related Brain Potentials. [Internet] [Thesis]. University of Edinburgh; 2013. [cited 2021 Apr 16].
Available from: http://hdl.handle.net/1842/8600.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Sabnis P. Effects of Syntactic Interference and Animacy in Sentence Processing using Event-related Brain Potentials. [Thesis]. University of Edinburgh; 2013. Available from: http://hdl.handle.net/1842/8600
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Rochester
20.
Peng, Xiaochang.
Mapping natural language sentences to semantic
graphs.
Degree: PhD, 2018, University of Rochester
URL: http://hdl.handle.net/1802/34131
► In recent years, there has been growing interest in graph representations of semantics as a deeper understanding of natural language is increasingly important for user…
(more)
▼ In recent years, there has been growing interest in
graph representations of semantics as a deeper understanding of
natural language is increasingly important for user applications
such as information extraction, question answering and dialogue
systems. Previously, algorithms for producing tree-structured
syntax representations given natural language text have been
studied extensively, while algorithms for producing semantic graphs
are less investigated. In this thesis, we focus on exploring new
approaches for mapping natural language sentences to semantic graph
structures that can be easily generalized to different semantic
graph parsing tasks. More specifically, we present different
modeling frameworks that take as input a sentence, and produce a
semantic graph representation encoding meaning of the sentence as
the output. First, we present a neural sequence-to-sequence model
for semantic graph parsing, where vertices and edge labels in the
target graph structure are predicted directly. We further propose
two mathematically sound formalisms for modeling the derivation
sequences for constructing semantic graph structures. In the first
approach, we use a graph grammar called Synchronous Hyperedge
Replacement Grammar (SHRG) to construct the sentence, graph pairs.
We also propose a general transition framework called cache
transition system for parsing to graph structures, where a cache
with fixed size m is included to analyze different semantic graphs.
We evaluate these approaches on a semantic graph representation
called Abstract Meaning Representation (AMR), while these
approaches are general to extend to other semantic graph
representations.
Subjects/Keywords: Natural language processing; Semantic graph parsing; Abstract meaning representation; SHRG
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APA ·
Chicago ·
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Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Peng, X. (2018). Mapping natural language sentences to semantic
graphs. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/34131
Chicago Manual of Style (16th Edition):
Peng, Xiaochang. “Mapping natural language sentences to semantic
graphs.” 2018. Doctoral Dissertation, University of Rochester. Accessed April 16, 2021.
http://hdl.handle.net/1802/34131.
MLA Handbook (7th Edition):
Peng, Xiaochang. “Mapping natural language sentences to semantic
graphs.” 2018. Web. 16 Apr 2021.
Vancouver:
Peng X. Mapping natural language sentences to semantic
graphs. [Internet] [Doctoral dissertation]. University of Rochester; 2018. [cited 2021 Apr 16].
Available from: http://hdl.handle.net/1802/34131.
Council of Science Editors:
Peng X. Mapping natural language sentences to semantic
graphs. [Doctoral Dissertation]. University of Rochester; 2018. Available from: http://hdl.handle.net/1802/34131
University of Manchester
21.
Robson, Holly.
Investigating the Comprehension Impairment in
Wernicke’sAphasia.
Degree: 2011, University of Manchester
URL: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:134274
► Wernicke’s aphasia (WA), an acquired impairment of language comprehension andword repetition, results from a cerebrovascular accident to the left temporoparietaljunction. The disorder has been important…
(more)
▼ Wernicke’s aphasia (WA), an acquired impairment of
language comprehension andword repetition, results from a
cerebrovascular accident to the left temporoparietaljunction. The
disorder has been important to the development of
neurobiologicalmodels of language however neuropsychological
investigations into the nature of thecomprehension impairment have
been limited. This thesis presents a series of fourexperiments,
investigating the comprehension impairment in WA. Chapter 3,
abehavioural neuropsychological study, investigates existing
hypotheses of thecomprehension impairment in WA: a phonological
breakdown, a semanticbreakdown, a dual phonological-
semantic
breakdown. A case series comparisonmethodology is utilised.
Participants with WA are compared to participants fromtwo other
clinical, comprehension impaired groups:
semantic dementia and
semanticaphasia.
Semantic dementia and
semantic aphasia provide
neuropsychologicalmodels of
semantic breakdown, affecting
semantic
representations and semanticcontrol respectively. Individuals with
WA showed disrupted non-verbal semanticanalysis of a similar
magnitude to that in
semantic dementia and
semantic aphasiaand of a
qualitatively similar nature to that in
semantic aphasia. A
significantlygreater impairment on assessments which required
acoustic-phonological analysiswas found for individuals with WA
compared to
semantic aphasia. Overall a dualbreakdown in
acoustic-phonological and
semantic control best accounted for
thecomprehension impairment in WA. In Chapter 4, direct evidence
was sought for alink between acoustic-phonological non-word
analysis and auditory comprehensionin WA. A novel test of non-word
discrimination was created which was perceptuallygraded so as to
provide a sensitive measure in severely impaired
participants.Individuals with WA were significantly impaired at
non-word discriminationcompared to age and hearing matched control
participants who performed at ceiling.The degree of non-word
discrimination/acoustic-phonological analysis impairmentcorrelated
with auditory comprehension in WA. Chapter 5 investigated the
extent towhich the established acoustic-phonological impairment in
WA was grounded in amore fundamental deficit in non-verbal auditory
analysis. The capacity to detectstructural changes in non-verbal
auditory stimuli was measured. Participants with12WA had an
impaired capacity to detect differences in all but the most
structurallysimple auditory stimuli, compared to control
participants. The degree of thisimpairment correlated with the
degree of auditory comprehension impairment in theWA group. Chapter
6 revisits the
semantic impairment observed in WA.
Functionalmagnetic resonance imaging was used to investigate the
residual neural networksrecruited by individuals with WA, when
performing a
semantic animate-inanimatejudgment task. Large
portions of the inferior and anterior temporal lobes
bilaterallywere activated, regions remote from the lesion in WA.
Age matched controlparticipants recruited similar regions; however
the activation in WA…
Advisors/Committee Members: LAMBON RALPH, MATTHEW MA, ZAHN, ROLAND RA, Sage, Karen, Lambon Ralph, Matthew, Zahn, Roland.
Subjects/Keywords: Wernicke's aphasia; language comprehension; stroke; semantic memory; auditory processing; phonology
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Robson, H. (2011). Investigating the Comprehension Impairment in
Wernicke’sAphasia. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:134274
Chicago Manual of Style (16th Edition):
Robson, Holly. “Investigating the Comprehension Impairment in
Wernicke’sAphasia.” 2011. Doctoral Dissertation, University of Manchester. Accessed April 16, 2021.
http://www.manchester.ac.uk/escholar/uk-ac-man-scw:134274.
MLA Handbook (7th Edition):
Robson, Holly. “Investigating the Comprehension Impairment in
Wernicke’sAphasia.” 2011. Web. 16 Apr 2021.
Vancouver:
Robson H. Investigating the Comprehension Impairment in
Wernicke’sAphasia. [Internet] [Doctoral dissertation]. University of Manchester; 2011. [cited 2021 Apr 16].
Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:134274.
Council of Science Editors:
Robson H. Investigating the Comprehension Impairment in
Wernicke’sAphasia. [Doctoral Dissertation]. University of Manchester; 2011. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:134274
Colorado State University
22.
Parrish, Nicholas James.
Image feature associations via local semantic structure.
Degree: MS(M.S.), Computer Science, 2010, Colorado State University
URL: http://hdl.handle.net/10217/44971
► Research in the field of object recognition suffers from two distinct weaknesses that limits its effectiveness in natural environments. The first is that this research…
(more)
▼ Research in the field of object recognition suffers from two distinct weaknesses that limits its effectiveness in natural environments. The first is that this research tends to rely on labeled training images, or other forms of supervision, to learn object models and recognize these models in novel images, thus preventing the learning of objects that are not labeled by humans. The second is that such systems tend to assume that the goal is to recognize a single, dominant foreground object. This research implements a different method of object recognition that learns, with- out supervision, which object(s) are in natural scenes. This approach uses the
semantic co-occurance information of local image features to form object models from groups of image features, which shall be called percepts. These percepts are then used to recognize objects in novel images. It will be shown that this approach is capable of learning object categories without supervision and recognition in complex multi-object scenes. It will also be shown that this approach out-performs a nearest-neighbor scene recognition approach.
Advisors/Committee Members: Draper, Bruce A. (advisor), Beveridge, Ross (committee member), Troup, Lucy (committee member).
Subjects/Keywords: Image processing; Perceptrons; Semantic computing
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APA ·
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MLA ·
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Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Parrish, N. J. (2010). Image feature associations via local semantic structure. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/44971
Chicago Manual of Style (16th Edition):
Parrish, Nicholas James. “Image feature associations via local semantic structure.” 2010. Masters Thesis, Colorado State University. Accessed April 16, 2021.
http://hdl.handle.net/10217/44971.
MLA Handbook (7th Edition):
Parrish, Nicholas James. “Image feature associations via local semantic structure.” 2010. Web. 16 Apr 2021.
Vancouver:
Parrish NJ. Image feature associations via local semantic structure. [Internet] [Masters thesis]. Colorado State University; 2010. [cited 2021 Apr 16].
Available from: http://hdl.handle.net/10217/44971.
Council of Science Editors:
Parrish NJ. Image feature associations via local semantic structure. [Masters Thesis]. Colorado State University; 2010. Available from: http://hdl.handle.net/10217/44971
California State University – San Bernardino
23.
Wang, Qianqian.
NATURAL LANGUAGE PROCESSING BASED GENERATOR OF TESTING INSTRUMENTS.
Degree: MSin Computer Science, School of Computer Science and Engineering, 2017, California State University – San Bernardino
URL: https://scholarworks.lib.csusb.edu/etd/576
► Natural Language Processing (NLP) is the field of study that focuses on the interactions between human language and computers. By “natural language” we mean…
(more)
▼ Natural Language
Processing (NLP) is the field of study that focuses on the interactions between human language and computers. By “natural language” we mean a language that is used for everyday communication by humans. Different from programming languages, natural languages are hard to be defined with accurate rules. NLP is developing rapidly and it has been widely used in different industries. Technologies based on NLP are becoming increasingly widespread, for example, Siri or Alexa are intelligent personal assistants using NLP build in an algorithm to communicate with people. “Natural Language
Processing Based Generator of Testing Instruments” is a stand-alone program that generates “plausible” multiple-choice selections by analyzing word sense disambiguation and calculating
semantic similarity between two natural language entities. The core is Word Sense Disambiguation (WSD), WSD is identifying which sense of a word is used in a sentence when the word has multiple meanings. WSD is considered as an AI-hard problem. The project presents several algorithms to resolve WSD problem and compute
semantic similarity, along with experimental results demonstrating their effectiveness.
Advisors/Committee Members: Voigt, Kerstin.
Subjects/Keywords: Natural Language Processing; Semantic Similarity; Word Sense Disambiguation; Other Computer Engineering
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Wang, Q. (2017). NATURAL LANGUAGE PROCESSING BASED GENERATOR OF TESTING INSTRUMENTS. (Thesis). California State University – San Bernardino. Retrieved from https://scholarworks.lib.csusb.edu/etd/576
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Wang, Qianqian. “NATURAL LANGUAGE PROCESSING BASED GENERATOR OF TESTING INSTRUMENTS.” 2017. Thesis, California State University – San Bernardino. Accessed April 16, 2021.
https://scholarworks.lib.csusb.edu/etd/576.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Wang, Qianqian. “NATURAL LANGUAGE PROCESSING BASED GENERATOR OF TESTING INSTRUMENTS.” 2017. Web. 16 Apr 2021.
Vancouver:
Wang Q. NATURAL LANGUAGE PROCESSING BASED GENERATOR OF TESTING INSTRUMENTS. [Internet] [Thesis]. California State University – San Bernardino; 2017. [cited 2021 Apr 16].
Available from: https://scholarworks.lib.csusb.edu/etd/576.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Wang Q. NATURAL LANGUAGE PROCESSING BASED GENERATOR OF TESTING INSTRUMENTS. [Thesis]. California State University – San Bernardino; 2017. Available from: https://scholarworks.lib.csusb.edu/etd/576
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Manchester
24.
Robson, Holly.
Investigating the comprehension impairment in Wernicke's aphasia.
Degree: PhD, 2011, University of Manchester
URL: https://www.research.manchester.ac.uk/portal/en/theses/investigating-the-comprehension-impairment-in-wernickesaphasia(ed866bcc-714f-496a-bf1b-1f5681850bb1).html
;
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.697726
► Wernicke’s aphasia (WA), an acquired impairment of language comprehension and word repetition, results from a cerebrovascular accident to the left temporoparietal junction. The disorder has…
(more)
▼ Wernicke’s aphasia (WA), an acquired impairment of language comprehension and word repetition, results from a cerebrovascular accident to the left temporoparietal junction. The disorder has been important to the development of neurobiological models of language, however neuropsychological investigations into the nature of the comprehension impairment have been limited. This thesis presents a series of four experiments, investigating the comprehension impairment in WA. Chapter 3, a behavioural neuropsychological study, investigates existing hypotheses of the comprehension impairment in WA: a phonological breakdown, a semantic breakdown, a dual phonological-semantic breakdown. A case series comparison methodology is utilised. Participants with WA are compared to participants from two other clinical, comprehension impaired groups: semantic dementia and semantic aphasia. Semantic dementia and semantic aphasia provide neuropsychological models of semantic breakdown, affecting semantic representations and semantic control respectively. Individuals with WA showed disrupted non-verbal semantic analysis of a similar magnitude to that in semantic dementia and semantic aphasia and of a qualitatively similar nature to that in semantic aphasia. A significantly greater impairment on assessments which required acoustic-phonological analysis was found for individuals with WA compared to semantic aphasia. Overall a dual breakdown in acoustic-phonological and semantic control best accounted for the comprehension impairment in WA. In Chapter 4, direct evidence was sought for a link between acoustic-phonological non-word analysis and auditory comprehension in WA. A novel test of non-word discrimination was created which was perceptually graded so as to provide a sensitive measure in severely impaired participants. Individuals with WA were significantly impaired at non-word discrimination compared to age and hearing matched control participants who performed at ceiling. The degree of non-word discrimination/acoustic-phonological analysis impairment correlated with auditory comprehension in WA. Chapter 5 investigated the extent to which the established acoustic-phonological impairment in WA was grounded in a more fundamental deficit in non-verbal auditory analysis. The capacity to detect structural changes in non-verbal auditory stimuli was measured. Participants with WA had an impaired capacity to detect differences in all but the most structurally simple auditory stimuli, compared to control participants. The degree of this impairment correlated with the degree of auditory comprehension impairment in the WA group. Chapter 6 revisits the semantic impairment observed in WA. Functional magnetic resonance imaging was used to investigate the residual neural networks recruited by individuals with WA, when performing a semantic animate-inanimate judgment task. Large portions of the inferior and anterior temporal lobes bilaterally were activated, regions remote from the lesion in WA. Age matched control participants recruited similar regions;…
Subjects/Keywords: 616.85; Wernicke's aphasia; language comprehension; stroke; semantic memory; auditory processing; phonology
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MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
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APA (6th Edition):
Robson, H. (2011). Investigating the comprehension impairment in Wernicke's aphasia. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/investigating-the-comprehension-impairment-in-wernickesaphasia(ed866bcc-714f-496a-bf1b-1f5681850bb1).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.697726
Chicago Manual of Style (16th Edition):
Robson, Holly. “Investigating the comprehension impairment in Wernicke's aphasia.” 2011. Doctoral Dissertation, University of Manchester. Accessed April 16, 2021.
https://www.research.manchester.ac.uk/portal/en/theses/investigating-the-comprehension-impairment-in-wernickesaphasia(ed866bcc-714f-496a-bf1b-1f5681850bb1).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.697726.
MLA Handbook (7th Edition):
Robson, Holly. “Investigating the comprehension impairment in Wernicke's aphasia.” 2011. Web. 16 Apr 2021.
Vancouver:
Robson H. Investigating the comprehension impairment in Wernicke's aphasia. [Internet] [Doctoral dissertation]. University of Manchester; 2011. [cited 2021 Apr 16].
Available from: https://www.research.manchester.ac.uk/portal/en/theses/investigating-the-comprehension-impairment-in-wernickesaphasia(ed866bcc-714f-496a-bf1b-1f5681850bb1).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.697726.
Council of Science Editors:
Robson H. Investigating the comprehension impairment in Wernicke's aphasia. [Doctoral Dissertation]. University of Manchester; 2011. Available from: https://www.research.manchester.ac.uk/portal/en/theses/investigating-the-comprehension-impairment-in-wernickesaphasia(ed866bcc-714f-496a-bf1b-1f5681850bb1).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.697726
University of Oxford
25.
Wojtinnek, Pia-Ramona.
Generation and application of semantic networks from plain text and Wikipedia.
Degree: PhD, 2012, University of Oxford
URL: http://ora.ox.ac.uk/objects/uuid:8b9e1aab-ff11-45a4-b321-e95cd2cb4a30
;
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.588383
► Natural Language Processing systems crucially depend on the availability of lexical and conceptual knowledge representations. They need to be able to disambiguate word senses and…
(more)
▼ Natural Language Processing systems crucially depend on the availability of lexical and conceptual knowledge representations. They need to be able to disambiguate word senses and detect synonyms. In order to draw inferences, they require access to hierarchical relations between concepts (dog isAn animal) as well as non-hierarchical ones (gasoline fuels car). Knowledge resources such as lexical databases, semantic networks and ontologies explicitly encode such conceptual knowledge. However, traditionally, these have been manually created, which is expensive and time consuming for large re- sources, and cannot provide adequate coverage in specialised domains. In order to alleviate this acquisition bottleneck, statistical methods have been created to acquire lexical and conceptual knowledge automatically from text. In particular, unsupervised techniques have the advantage that they can be easily adapted to any domain, given some corpus on the topic. However, due to sparseness issues, they often require very large corpora to achieve high quality results. The spectrum of resources and statistical methods has a crucial gap in situations when manually cre- ated resources do not provide the necessary coverage and only limited corpora are available. This is the case for real-world domain applications such as an NLP system for processing technical information based on a limited amount of company documentation. We provide a large-scale demonstration that this gap can be filled through the use of automatically generated networks. The corpus is automatically transformed into a network representing the terms or concepts which occur in the text and their relations, based entirely on linguistic tools. The net- works structurally lie in between the unstructured corpus and the highly structured manually created resources. We show that they can be useful in situations for which neither existing approach is ap- plicable. In contrast to manually created resources, our networks can be generated quickly and on demand. Conversely, they make it possible to achieve higher quality representations from less text than corpus-based methods, relieving the requirement of very large scale corpora. We devise scaleable frameworks for building networks from plain text and Wikipedia with varying levels of expressiveness. This work creates concrete networks from the entire British National Corpus covering 1.2m terms and 21m relations and a Wikipedia network covering 2.7m concepts. We develop a network-based semantic space model and evaluate it on the task of measuring semantic relatedness. In addition, noun compound paraphrasing is tackled to demonstrate the quality of the indirect paths in the network for concept relation description. On both evaluations we achieve results competitive to the state of the art. In particular, our network-based methods outperform corpus-based methods, demonstrating the gain created by leveraging the network structure.
Subjects/Keywords: 004.6; Computing; Applications and algorithms; natural lanuage processing; semantic networks
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APA ·
Chicago ·
MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Wojtinnek, P. (2012). Generation and application of semantic networks from plain text and Wikipedia. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:8b9e1aab-ff11-45a4-b321-e95cd2cb4a30 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.588383
Chicago Manual of Style (16th Edition):
Wojtinnek, Pia-Ramona. “Generation and application of semantic networks from plain text and Wikipedia.” 2012. Doctoral Dissertation, University of Oxford. Accessed April 16, 2021.
http://ora.ox.ac.uk/objects/uuid:8b9e1aab-ff11-45a4-b321-e95cd2cb4a30 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.588383.
MLA Handbook (7th Edition):
Wojtinnek, Pia-Ramona. “Generation and application of semantic networks from plain text and Wikipedia.” 2012. Web. 16 Apr 2021.
Vancouver:
Wojtinnek P. Generation and application of semantic networks from plain text and Wikipedia. [Internet] [Doctoral dissertation]. University of Oxford; 2012. [cited 2021 Apr 16].
Available from: http://ora.ox.ac.uk/objects/uuid:8b9e1aab-ff11-45a4-b321-e95cd2cb4a30 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.588383.
Council of Science Editors:
Wojtinnek P. Generation and application of semantic networks from plain text and Wikipedia. [Doctoral Dissertation]. University of Oxford; 2012. Available from: http://ora.ox.ac.uk/objects/uuid:8b9e1aab-ff11-45a4-b321-e95cd2cb4a30 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.588383
Hong Kong University of Science and Technology
26.
Zeng, Long.
Sketch-based semantic feature modeling with q-complex data structure.
Degree: 2012, Hong Kong University of Science and Technology
URL: http://repository.ust.hk/ir/Record/1783.1-7803
;
https://doi.org/10.14711/thesis-b1198697
;
http://repository.ust.hk/ir/bitstream/1783.1-7803/1/th_redirect.html
► Considering design efficiency, it is desirable to construct a 3D product model with user-friendly sketch inputs and by reusing existing knowledge. For definition, a semantic…
(more)
▼ Considering design efficiency, it is desirable to construct a 3D product model with user-friendly sketch inputs and by reusing existing knowledge. For definition, a semantic feature is defined as a group of related abstract entities, relations, and rules, to support sketch. The abstract entities are augmented with sketch entities to support sketch-based feature retrieval; relations are extended with inclusion relation and corresponding relation to support sketch-based feature instantiation; rules are added to encode domain knowledge to resolve a sketch’s ambiguity. A semantic feature model is constructed from conceptual layer, to feature layer, and to sketch layer. Differently, its feature layer contains a set of feature subspaces and its shape is detailed via sketch by corresponding relations. For representation, a new non-manifold boundary representation (B-reps)—Q-Complex with inclusion topology, is proposed to represent semantic feature models. Inclusion topology, allowing one entity to be embedded into another entity, is used to explicitly represent the relative positions among semantic features. With Q-Complex, its efficiency of 36 basic queries is several times faster than most-state-of-the-art B-reps, while the storage cost is compact in some situations. For creation, a semantic feature language containing vocabulary, sketch-based operators, and grammars is design to express the modeling process as an algebraic expression. To reuse predefined semantic feature, a hybrid retrieval algorithm is proposed based on semantics and sketches. The semantic feature library is subdivided into feature subspace and each is label with a semantic synonym-set, to support semantic retrieval. Also, each feature is encoded with n-connecting scheme to support stroke-by-stroke sketch retrieval. A proof-of-concept system—FeatureSketch, is proposed and applied to jewelry design and mechanical design, with examples to demonstrate its usage.
Subjects/Keywords: Geometrical models – Data processing
; Computer-aided design
; Semantic computing
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APA ·
Chicago ·
MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Zeng, L. (2012). Sketch-based semantic feature modeling with q-complex data structure. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-7803 ; https://doi.org/10.14711/thesis-b1198697 ; http://repository.ust.hk/ir/bitstream/1783.1-7803/1/th_redirect.html
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Zeng, Long. “Sketch-based semantic feature modeling with q-complex data structure.” 2012. Thesis, Hong Kong University of Science and Technology. Accessed April 16, 2021.
http://repository.ust.hk/ir/Record/1783.1-7803 ; https://doi.org/10.14711/thesis-b1198697 ; http://repository.ust.hk/ir/bitstream/1783.1-7803/1/th_redirect.html.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Zeng, Long. “Sketch-based semantic feature modeling with q-complex data structure.” 2012. Web. 16 Apr 2021.
Vancouver:
Zeng L. Sketch-based semantic feature modeling with q-complex data structure. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2012. [cited 2021 Apr 16].
Available from: http://repository.ust.hk/ir/Record/1783.1-7803 ; https://doi.org/10.14711/thesis-b1198697 ; http://repository.ust.hk/ir/bitstream/1783.1-7803/1/th_redirect.html.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Zeng L. Sketch-based semantic feature modeling with q-complex data structure. [Thesis]. Hong Kong University of Science and Technology; 2012. Available from: http://repository.ust.hk/ir/Record/1783.1-7803 ; https://doi.org/10.14711/thesis-b1198697 ; http://repository.ust.hk/ir/bitstream/1783.1-7803/1/th_redirect.html
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
27.
BAYOMI, MOSTAFA MOHAMED.
Using NLP Techniques to Enhance Content Discoverability and Reusability for Adaptive Systems.
Degree: School of Computer Science & Statistics. Discipline of Computer Science, 2019, Trinity College Dublin
URL: http://hdl.handle.net/2262/86062
► The volume of digital content resources written as text documents is growing every day, at an unprecedented rate. Because this content is generally not structured…
(more)
▼ The volume of digital content resources written as text documents is growing every day, at an unprecedented rate. Because this content is generally not structured as easy-to-handle units, it can be very difficult for users to find information they are interested in, or to help them accomplish their tasks. This in turn has increased the need for producing tailored content that can be adapted to the needs of individual users. A key challenge for producing such tailored content lies in the ability to understand how this content is structured. Hence, the efficient analysis and understanding of unstructured text content has become increasingly important. This has led to the increasing use of Natural Language
Processing (NLP) techniques to help with
processing unstructured text documents. Amongst the different NLP techniques, Text Segmentation is specifically used to understand the structure of textual documents. However, current approaches to text segmentation are typically based upon using lexical and/or syntactic representation to build a structure from the unstructured text documents. However, the relationship between segments may be
semantic, rather than lexical or syntactic.
Furthermore, text segmentation research has primarily focused on techniques that can be used to process text documents but not on how these techniques can be utilised to produce tailored content that can be adapted to the needs of individual users. In contrast, the field of Adaptive Systems has inherently focused on the challenges associated with dynamically adapting and delivering content to individual users. However, adaptive systems have primarily focused upon the techniques of adapting content, not on how to understand and structure this content. Even systems that have focused on structuring content are limited in that they rely upon the original structure of the content resource, which reflects the perspective of its author. Therefore, these systems are limited in that they do not deeply ?understand? the structure of the content, which in turn, limits their capability to discover and supply appropriate content for use in defined contexts, and limits the content?s amenability for reuse within various independent adaptive systems.
In order to utilise the strength of NLP techniques to overcome the challenges of understanding unstructured text content, this thesis investigates how NLP techniques can be utilised in order to enhance the supply of content to adaptive systems. Specifically, the contribution of this thesis is concerned with addressing the challenges associated with hierarchical text segmentation techniques, and with content discoverability and reusability for adaptive systems.
Firstly, this research proposes a novel hierarchical text segmentation approach, named C-HTS, that builds a structure from text documents based on the
semantic representation of text.
Semantic representation is a method that replaces keyword-based text representation with concept-based features, where the meaning of a piece of text is represented as a vector of…
Advisors/Committee Members: Lawless, Seamus.
Subjects/Keywords: Natural Language Processing; Text Segmentation; Semantic Analysis; Adaptive Systems
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Record Details
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
BAYOMI, M. M. (2019). Using NLP Techniques to Enhance Content Discoverability and Reusability for Adaptive Systems. (Thesis). Trinity College Dublin. Retrieved from http://hdl.handle.net/2262/86062
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
BAYOMI, MOSTAFA MOHAMED. “Using NLP Techniques to Enhance Content Discoverability and Reusability for Adaptive Systems.” 2019. Thesis, Trinity College Dublin. Accessed April 16, 2021.
http://hdl.handle.net/2262/86062.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
BAYOMI, MOSTAFA MOHAMED. “Using NLP Techniques to Enhance Content Discoverability and Reusability for Adaptive Systems.” 2019. Web. 16 Apr 2021.
Vancouver:
BAYOMI MM. Using NLP Techniques to Enhance Content Discoverability and Reusability for Adaptive Systems. [Internet] [Thesis]. Trinity College Dublin; 2019. [cited 2021 Apr 16].
Available from: http://hdl.handle.net/2262/86062.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
BAYOMI MM. Using NLP Techniques to Enhance Content Discoverability and Reusability for Adaptive Systems. [Thesis]. Trinity College Dublin; 2019. Available from: http://hdl.handle.net/2262/86062
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
28.
BAYOMI, MOSTAFA.
Using NLP Techniques to Enhance Content Discoverability and Reusability for Adaptive Systems.
Degree: School of Computer Science & Statistics. Discipline of Computer Science, 2019, Trinity College Dublin
URL: http://hdl.handle.net/2262/86075
► The volume of digital content resources written as text documents is growing every day, at an unprecedented rate. Because this content is generally not structured…
(more)
▼ The volume of digital content resources written as text documents is growing every day, at an unprecedented rate. Because this content is generally not structured as easy-to-handle units, it can be very difficult for users to find information they are interested in, or to help them accomplish their tasks. This in turn has increased the need for producing tailored content that can be adapted to the needs of individual users. A key challenge for producing such tailored content lies in the ability to understand how this content is structured. Hence, the efficient analysis and understanding of unstructured text content has become increasingly important. This has led to the increasing use of Natural Language
Processing (NLP) techniques to help with
processing unstructured text documents. Amongst the different NLP techniques, Text Segmentation is specifically used to understand the structure of textual documents. However, current approaches to text segmentation are typically based upon using lexical and/or syntactic representation to build a structure from the unstructured text documents. However, the relationship between segments may be
semantic, rather than lexical or syntactic.
Furthermore, text segmentation research has primarily focused on techniques that can be used to process text documents but not on how these techniques can be utilised to produce tailored content that can be adapted to the needs of individual users. In contrast, the field of Adaptive Systems has inherently focused on the challenges associated with dynamically adapting and delivering content to individual users. However, adaptive systems have primarily focused upon the techniques of adapting content, not on how to understand and structure this content. Even systems that have focused on structuring content are limited in that they rely upon the original structure of the content resource, which reflects the perspective of its author. Therefore, these systems are limited in that they do not deeply ?understand? the structure of the content, which in turn, limits their capability to discover and supply appropriate content for use in defined contexts, and limits the content?s amenability for reuse within various independent adaptive systems.
In order to utilise the strength of NLP techniques to overcome the challenges of understanding unstructured text content, this thesis investigates how NLP techniques can be utilised in order to enhance the supply of content to adaptive systems. Specifically, the contribution of this thesis is concerned with addressing the challenges associated with hierarchical text segmentation techniques, and with content discoverability and reusability for adaptive systems.
Firstly, this research proposes a novel hierarchical text segmentation approach, named C-HTS, that builds a structure from text documents based on the
semantic representation of text.
Semantic representation is a method that replaces keyword-based text representation with concept-based features, where the meaning of a piece of text is represented as a vector of…
Advisors/Committee Members: Lawless, Seamus.
Subjects/Keywords: Natural Language Processing; Text Segmentation; Semantic Analysis; Adaptive Systems
Record Details
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Share »
Record Details
Similar Records
Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
BAYOMI, M. (2019). Using NLP Techniques to Enhance Content Discoverability and Reusability for Adaptive Systems. (Thesis). Trinity College Dublin. Retrieved from http://hdl.handle.net/2262/86075
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
BAYOMI, MOSTAFA. “Using NLP Techniques to Enhance Content Discoverability and Reusability for Adaptive Systems.” 2019. Thesis, Trinity College Dublin. Accessed April 16, 2021.
http://hdl.handle.net/2262/86075.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
BAYOMI, MOSTAFA. “Using NLP Techniques to Enhance Content Discoverability and Reusability for Adaptive Systems.” 2019. Web. 16 Apr 2021.
Vancouver:
BAYOMI M. Using NLP Techniques to Enhance Content Discoverability and Reusability for Adaptive Systems. [Internet] [Thesis]. Trinity College Dublin; 2019. [cited 2021 Apr 16].
Available from: http://hdl.handle.net/2262/86075.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
BAYOMI M. Using NLP Techniques to Enhance Content Discoverability and Reusability for Adaptive Systems. [Thesis]. Trinity College Dublin; 2019. Available from: http://hdl.handle.net/2262/86075
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Illinois – Urbana-Champaign
29.
Kang, Sungku.
Extraction of formal manufacturing rules from unstructured English text.
Degree: PhD, Mechanical Engineering, 2017, University of Illinois – Urbana-Champaign
URL: http://hdl.handle.net/2142/99242
► Semantics-based approaches—founded on the idea of explicitly encoding meaning separately from the data or the application code—are being applied to manufacturing, for example, to enable…
(more)
▼ Semantics-based approaches—founded on the idea of explicitly encoding meaning separately from the data or the application code—are being applied to manufacturing, for example, to enable early manufacturability feedback. These approaches rely on formal, i.e., computer-interpretable, knowledge and rules along with the context or semantics. On the other hand, manufacturing knowledge has been maintained primarily in the form of unstructured English text. It is considered impractical for engineers to author accurate, formal, and structured manufacturing rules. Previous efforts on extracting semantics from unstructured text in manufacturing have focused exclusively on basic concept names and hierarchies. In this context, this dissertation focuses on the development of a semantics-based framework for acquiring more complex manufacturing knowledge, primarily rules, in a formal form, from unstructured English text such as those written in manufacturing handbooks.
This dissertation includes the following specific research tasks. First, it studies the problem in manufacturing domain, proposes the formal rule extraction framework, and demonstrates its feasibility. Second, it extends the framework to complement standard Natural Language
Processing (NLP) techniques with manufacturing domain knowledge to resolve ambiguities, called as domain-specific ambiguities, that are due to manufacturing-specific meanings implicit in the English text. Finally, this dissertation extends the framework to identify the cases that need input text validation, and provide the relevant feedback to the user to modify the input text for the extraction of correct rules.
This research also demonstrates the extensibility of the framework. Specifically, the framework was initially developed using the subset of a manufacturing handbook only including milling, metal stamping, and die-casting sections, and then applied to the rest of the manufacturing processes including 30 sections in forming, machining, casting, molding, assembling, and finishing chapters in the book. Case studies are performed to demonstrate the feasibility of the framework on the dataset of 133 sentences. First, the feasibility of the rule extraction framework is shown by extracting correct rules from approx. 57% of the sentences. Second, the effectiveness of ambiguity resolution by complementing standard NLP techniques with manufacturing domain knowledge is demonstrated by an increasing the correct rules to 70%. Lastly, for the remaining 30% of the cases that need input text validation, relevant feedback is provided to the user to modify the input text for the extraction of the correct rules.
It is expected that this research will facilitate the development of formal manufacturing knowledge including complex manufacturing rules. It will thus address an important barrier that has prevented a larger scale application and the adoption of
semantic technologies in the field of manufacturing, especially for semantics-based manufacturability analysis.
Advisors/Committee Members: Dutta, Debasish (advisor), Dutta, Debasish (Committee Chair), Ferreira, Placid (committee member), Kim, Harrison Hyung Min (committee member), Patil, Lalit (committee member), Rangarajan, Arvind (committee member).
Subjects/Keywords: Rule extraction; Semantic technology; Natural language processing (NLP); Ontology
Record Details
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Record Details
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Kang, S. (2017). Extraction of formal manufacturing rules from unstructured English text. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/99242
Chicago Manual of Style (16th Edition):
Kang, Sungku. “Extraction of formal manufacturing rules from unstructured English text.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 16, 2021.
http://hdl.handle.net/2142/99242.
MLA Handbook (7th Edition):
Kang, Sungku. “Extraction of formal manufacturing rules from unstructured English text.” 2017. Web. 16 Apr 2021.
Vancouver:
Kang S. Extraction of formal manufacturing rules from unstructured English text. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2021 Apr 16].
Available from: http://hdl.handle.net/2142/99242.
Council of Science Editors:
Kang S. Extraction of formal manufacturing rules from unstructured English text. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/99242
University of Melbourne
30.
GRIESER, KARL.
Computing relationships and relatedness between contextually diverse entities.
Degree: 2011, University of Melbourne
URL: http://hdl.handle.net/11343/37066
► When presented with a pair of entities such as a ball and a bat, a person may make the connection that both of these entities…
(more)
▼ When presented with a pair of entities such as a ball and a bat, a person may make the connection that both of these entities are involved in sport (e.g., the sports baseball or cricket, based on the individual's background), that the composition of the two entities is similar (e.g., a wooden ball and a wooden stick), or if the person is especially creative, a fancy dress ball where someone has come dressed as a bat. All of these connections are equally valid, but depending on the context the person is familiar with (e.g., sport, wooden objects, fancy dress), a particular connection may be more apparent to that person. From a computational perspective, identifying these relationships and calculating the level of relatedness of entity pairs requires consideration of all ways in which the entities are able to interact with one another. Existing approaches to identifying the relatedness of entities and the semantic relationships that exist between them fail to take into account the multiple diverse ways in which these entities may interact, and hence do not explore all potential ways in which entities may be related.
In this thesis, I use the collaborative encyclopedia Wikipedia as the basis for the formulation of a measure of semantic relatedness that takes into account the contextual diversity of entities (called the Related Article Conceptual Overlap, or RACO, method), and describe several methods of relationship extraction that utilise the taxonomic structure of Wikipedia to identify pieces of text that describe relations between contextually diverse entities. I also describe the construction of a dataset of museum exhibit relatedness judgements used to evaluate the performance of RACO. I demonstrate that RACO outperforms state-of-the-art measures of semantic relatedness over a collection of contextually diverse entities (museum exhibits), and that the taxonomic structure of Wikipedia provides a basis for identifying valid relationships between contextually diverse entities. As this work is presented in regard to the domain of Cultural Heritage and using Wikipedia as a basis for representation, I additionally describe the process for adapting the principle of conceptual overlap for calculating semantic relatedness and the relationship extraction methods based on taxonomic links to alternate contextually diverse domains, and for use with other representational resources.
Subjects/Keywords: Wikipedia; information Extraction; cultural heritage; semantic relatedness; natural language processing
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Record Details
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
GRIESER, K. (2011). Computing relationships and relatedness between contextually diverse entities. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/37066
Chicago Manual of Style (16th Edition):
GRIESER, KARL. “Computing relationships and relatedness between contextually diverse entities.” 2011. Doctoral Dissertation, University of Melbourne. Accessed April 16, 2021.
http://hdl.handle.net/11343/37066.
MLA Handbook (7th Edition):
GRIESER, KARL. “Computing relationships and relatedness between contextually diverse entities.” 2011. Web. 16 Apr 2021.
Vancouver:
GRIESER K. Computing relationships and relatedness between contextually diverse entities. [Internet] [Doctoral dissertation]. University of Melbourne; 2011. [cited 2021 Apr 16].
Available from: http://hdl.handle.net/11343/37066.
Council of Science Editors:
GRIESER K. Computing relationships and relatedness between contextually diverse entities. [Doctoral Dissertation]. University of Melbourne; 2011. Available from: http://hdl.handle.net/11343/37066
◁ [1] [2] [3] [4] [5] … [12] ▶
. 
Open Access Theses and Dissertations
