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You searched for subject:(Natural language processing). Showing records 1 – 30 of 1385 total matches.

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University of Georgia

1. Boisclair, William Cody. SYCORAX: an automated analyzer of the syntactic complexity of English text.

Degree: PhD, Computer Science, 2011, University of Georgia

 This dissertation describes the development and evaluation of a new analyzer for syntactic complexity known as SYCORAX: the SYntactic COmplexity RAting eXpert. SYCORAX, like several… (more)

Subjects/Keywords: Natural language processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Boisclair, W. C. (2011). SYCORAX: an automated analyzer of the syntactic complexity of English text. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/boisclair_william_c_201108_phd

Chicago Manual of Style (16th Edition):

Boisclair, William Cody. “SYCORAX: an automated analyzer of the syntactic complexity of English text.” 2011. Doctoral Dissertation, University of Georgia. Accessed February 22, 2020. http://purl.galileo.usg.edu/uga_etd/boisclair_william_c_201108_phd.

MLA Handbook (7th Edition):

Boisclair, William Cody. “SYCORAX: an automated analyzer of the syntactic complexity of English text.” 2011. Web. 22 Feb 2020.

Vancouver:

Boisclair WC. SYCORAX: an automated analyzer of the syntactic complexity of English text. [Internet] [Doctoral dissertation]. University of Georgia; 2011. [cited 2020 Feb 22]. Available from: http://purl.galileo.usg.edu/uga_etd/boisclair_william_c_201108_phd.

Council of Science Editors:

Boisclair WC. SYCORAX: an automated analyzer of the syntactic complexity of English text. [Doctoral Dissertation]. University of Georgia; 2011. Available from: http://purl.galileo.usg.edu/uga_etd/boisclair_william_c_201108_phd


Anna University

2. Balaji J. Pattern based bootstrapping approaches For natural language processing of Morphologically rich languages;.

Degree: Pattern based bootstrapping approaches For natural language processing of Morphologically rich languages, 2015, Anna University

This thesis attempts to tackle Natural Language Processing NLP tasks by exploiting the special characteristics of morphologically rich newlineLanguages In this thesis we use Tamil… (more)

Subjects/Keywords: Natural Language Processing

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APA (6th Edition):

J, B. (2015). Pattern based bootstrapping approaches For natural language processing of Morphologically rich languages;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/35514

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):

J, Balaji. “Pattern based bootstrapping approaches For natural language processing of Morphologically rich languages;.” 2015. Thesis, Anna University. Accessed February 22, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/35514.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

J, Balaji. “Pattern based bootstrapping approaches For natural language processing of Morphologically rich languages;.” 2015. Web. 22 Feb 2020.

Vancouver:

J B. Pattern based bootstrapping approaches For natural language processing of Morphologically rich languages;. [Internet] [Thesis]. Anna University; 2015. [cited 2020 Feb 22]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/35514.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

J B. Pattern based bootstrapping approaches For natural language processing of Morphologically rich languages;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/35514

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

3. Konstas, Ioannis. Joint models for concept-to-text generation.

Degree: PhD, 2014, University of Edinburgh

 Much of the data found on the world wide web is in numeric, tabular, or other nontextual format (e.g., weather forecast tables, stock market charts,… (more)

Subjects/Keywords: 006.3; natural language generation; natural language processing

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APA (6th Edition):

Konstas, I. (2014). Joint models for concept-to-text generation. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/8926

Chicago Manual of Style (16th Edition):

Konstas, Ioannis. “Joint models for concept-to-text generation.” 2014. Doctoral Dissertation, University of Edinburgh. Accessed February 22, 2020. http://hdl.handle.net/1842/8926.

MLA Handbook (7th Edition):

Konstas, Ioannis. “Joint models for concept-to-text generation.” 2014. Web. 22 Feb 2020.

Vancouver:

Konstas I. Joint models for concept-to-text generation. [Internet] [Doctoral dissertation]. University of Edinburgh; 2014. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/1842/8926.

Council of Science Editors:

Konstas I. Joint models for concept-to-text generation. [Doctoral Dissertation]. University of Edinburgh; 2014. Available from: http://hdl.handle.net/1842/8926

4. Irvine, Ann. Using Comparable Corpora to Augment Statistical Machine Translation Models in Low Resource Settings.

Degree: 2014, Johns Hopkins University

 Previously, statistical machine translation (SMT) models have been estimated from parallel corpora, or pairs of translated sentences. In this thesis, we directly incorporate comparable corpora… (more)

Subjects/Keywords: machine translation; natural language processing

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APA (6th Edition):

Irvine, A. (2014). Using Comparable Corpora to Augment Statistical Machine Translation Models in Low Resource Settings. (Thesis). Johns Hopkins University. Retrieved from http://jhir.library.jhu.edu/handle/1774.2/38018

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):

Irvine, Ann. “Using Comparable Corpora to Augment Statistical Machine Translation Models in Low Resource Settings.” 2014. Thesis, Johns Hopkins University. Accessed February 22, 2020. http://jhir.library.jhu.edu/handle/1774.2/38018.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Irvine, Ann. “Using Comparable Corpora to Augment Statistical Machine Translation Models in Low Resource Settings.” 2014. Web. 22 Feb 2020.

Vancouver:

Irvine A. Using Comparable Corpora to Augment Statistical Machine Translation Models in Low Resource Settings. [Internet] [Thesis]. Johns Hopkins University; 2014. [cited 2020 Feb 22]. Available from: http://jhir.library.jhu.edu/handle/1774.2/38018.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Irvine A. Using Comparable Corpora to Augment Statistical Machine Translation Models in Low Resource Settings. [Thesis]. Johns Hopkins University; 2014. Available from: http://jhir.library.jhu.edu/handle/1774.2/38018

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Hong Kong

5. 周春婷; Zhou, Chunting. Representation learning for natural language processing.

Degree: M. Phil., 2016, University of Hong Kong

Many applications in natural language processing (NLP) depend on extracting compact and informative features from unstructured texts. Distributed representations encode data as continuous vectors, by… (more)

Subjects/Keywords: Natural language processing (Computer science)

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APA (6th Edition):

周春婷; Zhou, C. (2016). Representation learning for natural language processing. (Masters Thesis). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/236583

Chicago Manual of Style (16th Edition):

周春婷; Zhou, Chunting. “Representation learning for natural language processing.” 2016. Masters Thesis, University of Hong Kong. Accessed February 22, 2020. http://hdl.handle.net/10722/236583.

MLA Handbook (7th Edition):

周春婷; Zhou, Chunting. “Representation learning for natural language processing.” 2016. Web. 22 Feb 2020.

Vancouver:

周春婷; Zhou C. Representation learning for natural language processing. [Internet] [Masters thesis]. University of Hong Kong; 2016. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10722/236583.

Council of Science Editors:

周春婷; Zhou C. Representation learning for natural language processing. [Masters Thesis]. University of Hong Kong; 2016. Available from: http://hdl.handle.net/10722/236583


University of Minnesota

6. Exley, Andrew. Improvements to a Speech Repair Parser.

Degree: PhD, Computer Science, 2016, University of Minnesota

 Parsing is a common task for speech-recognition systems, but many parsers ignore the possibility of speech errors and repairs, which are very common in conversational… (more)

Subjects/Keywords: Natural Language Processing; Parsing

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APA (6th Edition):

Exley, A. (2016). Improvements to a Speech Repair Parser. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/181724

Chicago Manual of Style (16th Edition):

Exley, Andrew. “Improvements to a Speech Repair Parser.” 2016. Doctoral Dissertation, University of Minnesota. Accessed February 22, 2020. http://hdl.handle.net/11299/181724.

MLA Handbook (7th Edition):

Exley, Andrew. “Improvements to a Speech Repair Parser.” 2016. Web. 22 Feb 2020.

Vancouver:

Exley A. Improvements to a Speech Repair Parser. [Internet] [Doctoral dissertation]. University of Minnesota; 2016. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/11299/181724.

Council of Science Editors:

Exley A. Improvements to a Speech Repair Parser. [Doctoral Dissertation]. University of Minnesota; 2016. Available from: http://hdl.handle.net/11299/181724

7. Choe, Do Kook. Toward Solving Penn Treebank Parsing.

Degree: Department of Computer Science, 2017, Brown University

 A natural language parser recovers the latent grammatical structures of sentences. In many natural language processing (NLP) applications, parsing is applied to sentences first and… (more)

Subjects/Keywords: Natural language processing (Computer science)

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APA (6th Edition):

Choe, D. K. (2017). Toward Solving Penn Treebank Parsing. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:733298/

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):

Choe, Do Kook. “Toward Solving Penn Treebank Parsing.” 2017. Thesis, Brown University. Accessed February 22, 2020. https://repository.library.brown.edu/studio/item/bdr:733298/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Choe, Do Kook. “Toward Solving Penn Treebank Parsing.” 2017. Web. 22 Feb 2020.

Vancouver:

Choe DK. Toward Solving Penn Treebank Parsing. [Internet] [Thesis]. Brown University; 2017. [cited 2020 Feb 22]. Available from: https://repository.library.brown.edu/studio/item/bdr:733298/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Choe DK. Toward Solving Penn Treebank Parsing. [Thesis]. Brown University; 2017. Available from: https://repository.library.brown.edu/studio/item/bdr:733298/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Ryerson University

8. Krezolek, Michal Andrzej. Natural Language Learning.

Degree: 2010, Ryerson University

 This thesis is a small step towards automated learning of natural languages. With the use of a parser that incorporates machine-learning algorithms, our algorithm is… (more)

Subjects/Keywords: Natural language processing; Machine learning

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APA (6th Edition):

Krezolek, M. A. (2010). Natural Language Learning. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A635

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):

Krezolek, Michal Andrzej. “Natural Language Learning.” 2010. Thesis, Ryerson University. Accessed February 22, 2020. https://digital.library.ryerson.ca/islandora/object/RULA%3A635.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Krezolek, Michal Andrzej. “Natural Language Learning.” 2010. Web. 22 Feb 2020.

Vancouver:

Krezolek MA. Natural Language Learning. [Internet] [Thesis]. Ryerson University; 2010. [cited 2020 Feb 22]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A635.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Krezolek MA. Natural Language Learning. [Thesis]. Ryerson University; 2010. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A635

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Victoria

9. Sedghi, Elham. A novel stroke prediction model based on clinical natural language processing (NLP) and data mining methods.

Degree: Department of Computer Science, 2017, University of Victoria

 Early detection and treatment of stroke can save lives. Before any procedure is planned, the patient is traditionally subjected to a brain scan such as… (more)

Subjects/Keywords: Data Mining; Natural Language Processing

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APA (6th Edition):

Sedghi, E. (2017). A novel stroke prediction model based on clinical natural language processing (NLP) and data mining methods. (Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/7879

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):

Sedghi, Elham. “A novel stroke prediction model based on clinical natural language processing (NLP) and data mining methods.” 2017. Thesis, University of Victoria. Accessed February 22, 2020. http://hdl.handle.net/1828/7879.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sedghi, Elham. “A novel stroke prediction model based on clinical natural language processing (NLP) and data mining methods.” 2017. Web. 22 Feb 2020.

Vancouver:

Sedghi E. A novel stroke prediction model based on clinical natural language processing (NLP) and data mining methods. [Internet] [Thesis]. University of Victoria; 2017. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/1828/7879.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sedghi E. A novel stroke prediction model based on clinical natural language processing (NLP) and data mining methods. [Thesis]. University of Victoria; 2017. Available from: http://hdl.handle.net/1828/7879

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Virginia Tech

10. Kakusa, Takondwa Lisungu. Use of Assembly Inspired Instructions in the Allowance of Natural Language Processing in ROS.

Degree: MS, Electrical and Computer Engineering, 2018, Virginia Tech

Natural Language processing is a growing field and widely used in both industrial and and commercial cases. Though it is difficult to create a natural(more)

Subjects/Keywords: Natural Language Processing; Robotics; ROS

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APA (6th Edition):

Kakusa, T. L. (2018). Use of Assembly Inspired Instructions in the Allowance of Natural Language Processing in ROS. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/84521

Chicago Manual of Style (16th Edition):

Kakusa, Takondwa Lisungu. “Use of Assembly Inspired Instructions in the Allowance of Natural Language Processing in ROS.” 2018. Masters Thesis, Virginia Tech. Accessed February 22, 2020. http://hdl.handle.net/10919/84521.

MLA Handbook (7th Edition):

Kakusa, Takondwa Lisungu. “Use of Assembly Inspired Instructions in the Allowance of Natural Language Processing in ROS.” 2018. Web. 22 Feb 2020.

Vancouver:

Kakusa TL. Use of Assembly Inspired Instructions in the Allowance of Natural Language Processing in ROS. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10919/84521.

Council of Science Editors:

Kakusa TL. Use of Assembly Inspired Instructions in the Allowance of Natural Language Processing in ROS. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/84521


University of Houston

11. Kulkarni, Akshay Bhavani Kumar 1994-. Early Detection of Depression.

Degree: Computer Science, Department of, 2018, University of Houston

 Depression is a mental disorder that affects more than 300 million people worldwide. An individual suffering from depression functions poorly in life, is prone to… (more)

Subjects/Keywords: Natural Language Processing; Health Care

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APA (6th Edition):

Kulkarni, A. B. K. 1. (2018). Early Detection of Depression. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3089

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):

Kulkarni, Akshay Bhavani Kumar 1994-. “Early Detection of Depression.” 2018. Thesis, University of Houston. Accessed February 22, 2020. http://hdl.handle.net/10657/3089.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kulkarni, Akshay Bhavani Kumar 1994-. “Early Detection of Depression.” 2018. Web. 22 Feb 2020.

Vancouver:

Kulkarni ABK1. Early Detection of Depression. [Internet] [Thesis]. University of Houston; 2018. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10657/3089.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kulkarni ABK1. Early Detection of Depression. [Thesis]. University of Houston; 2018. Available from: http://hdl.handle.net/10657/3089

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Vanderbilt University

12. Davis, Mary Feller. Determining the Use of Electronic Medical Records in Genetic Studies of Multiple Sclerosis.

Degree: PhD, Human Genetics, 2013, Vanderbilt University

 The clinical course of multiple sclerosis (MS) is highly variable, and research data collection is costly and time-consuming. Much is known about the genetic risk… (more)

Subjects/Keywords: genetic association; natural language processing

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APA (6th Edition):

Davis, M. F. (2013). Determining the Use of Electronic Medical Records in Genetic Studies of Multiple Sclerosis. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-11302013-193738/ ;

Chicago Manual of Style (16th Edition):

Davis, Mary Feller. “Determining the Use of Electronic Medical Records in Genetic Studies of Multiple Sclerosis.” 2013. Doctoral Dissertation, Vanderbilt University. Accessed February 22, 2020. http://etd.library.vanderbilt.edu/available/etd-11302013-193738/ ;.

MLA Handbook (7th Edition):

Davis, Mary Feller. “Determining the Use of Electronic Medical Records in Genetic Studies of Multiple Sclerosis.” 2013. Web. 22 Feb 2020.

Vancouver:

Davis MF. Determining the Use of Electronic Medical Records in Genetic Studies of Multiple Sclerosis. [Internet] [Doctoral dissertation]. Vanderbilt University; 2013. [cited 2020 Feb 22]. Available from: http://etd.library.vanderbilt.edu/available/etd-11302013-193738/ ;.

Council of Science Editors:

Davis MF. Determining the Use of Electronic Medical Records in Genetic Studies of Multiple Sclerosis. [Doctoral Dissertation]. Vanderbilt University; 2013. Available from: http://etd.library.vanderbilt.edu/available/etd-11302013-193738/ ;


University of Guelph

13. Stantic, Daniel. A Unified Probabilistic Model for Aspect-Level Sentiment Analysis .

Degree: 2016, University of Guelph

 In this thesis, we develop a new probabilistic model for aspect-level sentiment analysis based on POSLDA, a topic classifier that incorporates syntax modelling for better… (more)

Subjects/Keywords: natural language processing; sentiment analysis

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APA (6th Edition):

Stantic, D. (2016). A Unified Probabilistic Model for Aspect-Level Sentiment Analysis . (Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9616

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):

Stantic, Daniel. “A Unified Probabilistic Model for Aspect-Level Sentiment Analysis .” 2016. Thesis, University of Guelph. Accessed February 22, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9616.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Stantic, Daniel. “A Unified Probabilistic Model for Aspect-Level Sentiment Analysis .” 2016. Web. 22 Feb 2020.

Vancouver:

Stantic D. A Unified Probabilistic Model for Aspect-Level Sentiment Analysis . [Internet] [Thesis]. University of Guelph; 2016. [cited 2020 Feb 22]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9616.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Stantic D. A Unified Probabilistic Model for Aspect-Level Sentiment Analysis . [Thesis]. University of Guelph; 2016. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/9616

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Texas – Austin

14. -7062-2970. Advances in statistical script learning.

Degree: PhD, Computer Science, 2017, University of Texas – Austin

 When humans encode information into natural language, they do so with the clear assumption that the reader will be able to seamlessly make inferences based… (more)

Subjects/Keywords: Natural language processing; Machine learning

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APA (6th Edition):

-7062-2970. (2017). Advances in statistical script learning. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/63480

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-7062-2970. “Advances in statistical script learning.” 2017. Doctoral Dissertation, University of Texas – Austin. Accessed February 22, 2020. http://hdl.handle.net/2152/63480.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-7062-2970. “Advances in statistical script learning.” 2017. Web. 22 Feb 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-7062-2970. Advances in statistical script learning. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2017. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/2152/63480.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-7062-2970. Advances in statistical script learning. [Doctoral Dissertation]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/63480

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Sydney

15. Pink, Glen Alan. Slot Filling .

Degree: 2017, University of Sydney

 Slot filling (SF) is the task of automatically extracting facts about particular entities from unstructured text, and populating a knowledge base (KB) with these facts.… (more)

Subjects/Keywords: natural language processing; information; extraction

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APA (6th Edition):

Pink, G. A. (2017). Slot Filling . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/17055

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):

Pink, Glen Alan. “Slot Filling .” 2017. Thesis, University of Sydney. Accessed February 22, 2020. http://hdl.handle.net/2123/17055.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pink, Glen Alan. “Slot Filling .” 2017. Web. 22 Feb 2020.

Vancouver:

Pink GA. Slot Filling . [Internet] [Thesis]. University of Sydney; 2017. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/2123/17055.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pink GA. Slot Filling . [Thesis]. University of Sydney; 2017. Available from: http://hdl.handle.net/2123/17055

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Virginia Tech

16. Patil, Supritha Basavaraj. Analysis of Moving Events Using Tweets.

Degree: MS, Computer Science and Applications, 2019, Virginia Tech

 News now travels faster on social media than through news channels. Information from social media can help retrieve minute details that might not be emphasized… (more)

Subjects/Keywords: Natural Language Processing; Twitter

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APA (6th Edition):

Patil, S. B. (2019). Analysis of Moving Events Using Tweets. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/90884

Chicago Manual of Style (16th Edition):

Patil, Supritha Basavaraj. “Analysis of Moving Events Using Tweets.” 2019. Masters Thesis, Virginia Tech. Accessed February 22, 2020. http://hdl.handle.net/10919/90884.

MLA Handbook (7th Edition):

Patil, Supritha Basavaraj. “Analysis of Moving Events Using Tweets.” 2019. Web. 22 Feb 2020.

Vancouver:

Patil SB. Analysis of Moving Events Using Tweets. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10919/90884.

Council of Science Editors:

Patil SB. Analysis of Moving Events Using Tweets. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/90884


McMaster University

17. Cui, Yexin. Language Identification on Short Textual Data.

Degree: MASc, 2020, McMaster University

Language identification is the task of automatically detecting the languages(s) written in a text or a document given, and is also the very first step… (more)

Subjects/Keywords: Natural Language Processing; Language identification; Textual data

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APA (6th Edition):

Cui, Y. (2020). Language Identification on Short Textual Data. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/25126

Chicago Manual of Style (16th Edition):

Cui, Yexin. “Language Identification on Short Textual Data.” 2020. Masters Thesis, McMaster University. Accessed February 22, 2020. http://hdl.handle.net/11375/25126.

MLA Handbook (7th Edition):

Cui, Yexin. “Language Identification on Short Textual Data.” 2020. Web. 22 Feb 2020.

Vancouver:

Cui Y. Language Identification on Short Textual Data. [Internet] [Masters thesis]. McMaster University; 2020. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/11375/25126.

Council of Science Editors:

Cui Y. Language Identification on Short Textual Data. [Masters Thesis]. McMaster University; 2020. Available from: http://hdl.handle.net/11375/25126


University of Edinburgh

18. Brockmann, Carsten. Personality and alignment processes in dialogue : towards a lexically-based unified model.

Degree: PhD, 2009, University of Edinburgh

 This thesis explores approaches to modelling individual differences in language use. The differences under consideration fall into two broad categories: Variation of the personality projected… (more)

Subjects/Keywords: 410; personality; alignment; dialogue; natural language processing; natural language generation

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APA (6th Edition):

Brockmann, C. (2009). Personality and alignment processes in dialogue : towards a lexically-based unified model. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/3980

Chicago Manual of Style (16th Edition):

Brockmann, Carsten. “Personality and alignment processes in dialogue : towards a lexically-based unified model.” 2009. Doctoral Dissertation, University of Edinburgh. Accessed February 22, 2020. http://hdl.handle.net/1842/3980.

MLA Handbook (7th Edition):

Brockmann, Carsten. “Personality and alignment processes in dialogue : towards a lexically-based unified model.” 2009. Web. 22 Feb 2020.

Vancouver:

Brockmann C. Personality and alignment processes in dialogue : towards a lexically-based unified model. [Internet] [Doctoral dissertation]. University of Edinburgh; 2009. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/1842/3980.

Council of Science Editors:

Brockmann C. Personality and alignment processes in dialogue : towards a lexically-based unified model. [Doctoral Dissertation]. University of Edinburgh; 2009. Available from: http://hdl.handle.net/1842/3980

19. Dong, Li. Learning natural language interfaces with neural models.

Degree: PhD, 2019, University of Edinburgh

Language is the primary and most natural means of communication for humans. The learning curve of interacting with various devices and services (e.g., digital assistants,… (more)

Subjects/Keywords: natural language interface; question answering; natural language processing

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APA (6th Edition):

Dong, L. (2019). Learning natural language interfaces with neural models. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/35587

Chicago Manual of Style (16th Edition):

Dong, Li. “Learning natural language interfaces with neural models.” 2019. Doctoral Dissertation, University of Edinburgh. Accessed February 22, 2020. http://hdl.handle.net/1842/35587.

MLA Handbook (7th Edition):

Dong, Li. “Learning natural language interfaces with neural models.” 2019. Web. 22 Feb 2020.

Vancouver:

Dong L. Learning natural language interfaces with neural models. [Internet] [Doctoral dissertation]. University of Edinburgh; 2019. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/1842/35587.

Council of Science Editors:

Dong L. Learning natural language interfaces with neural models. [Doctoral Dissertation]. University of Edinburgh; 2019. Available from: http://hdl.handle.net/1842/35587


University of Rochester

20. Naim, Iftekhar. Unsupervised alignment of natural language with video.

Degree: PhD, 2016, University of Rochester

 Today we encounter large amounts of video data, often accompanied with text descriptions (e.g., cooking videos and recipes, videos of wetlab experiments and protocols, movies… (more)

Subjects/Keywords: Alignment; Computer vision; Language and vision; Natural language processing; Video processing

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APA (6th Edition):

Naim, I. (2016). Unsupervised alignment of natural language with video. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/30614

Chicago Manual of Style (16th Edition):

Naim, Iftekhar. “Unsupervised alignment of natural language with video.” 2016. Doctoral Dissertation, University of Rochester. Accessed February 22, 2020. http://hdl.handle.net/1802/30614.

MLA Handbook (7th Edition):

Naim, Iftekhar. “Unsupervised alignment of natural language with video.” 2016. Web. 22 Feb 2020.

Vancouver:

Naim I. Unsupervised alignment of natural language with video. [Internet] [Doctoral dissertation]. University of Rochester; 2016. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/1802/30614.

Council of Science Editors:

Naim I. Unsupervised alignment of natural language with video. [Doctoral Dissertation]. University of Rochester; 2016. Available from: http://hdl.handle.net/1802/30614


Universitat Politècnica de València

21. Reyes Pérez, Antonio. Linguistic-based Patterns for Figurative Language Processing: The Case of Humor Recognition and Irony Detection .

Degree: 2012, Universitat Politècnica de València

 El lenguaje figurado representa una de las tareas más difíciles del procesamiento del lenguaje natural. A diferencia del lenguaje literal, el lenguaje figurado hace uso… (more)

Subjects/Keywords: Automatic humor recognition; Irony detection; Figurative language processing; Natural language processing

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APA (6th Edition):

Reyes Pérez, A. (2012). Linguistic-based Patterns for Figurative Language Processing: The Case of Humor Recognition and Irony Detection . (Doctoral Dissertation). Universitat Politècnica de València. Retrieved from http://hdl.handle.net/10251/16692

Chicago Manual of Style (16th Edition):

Reyes Pérez, Antonio. “Linguistic-based Patterns for Figurative Language Processing: The Case of Humor Recognition and Irony Detection .” 2012. Doctoral Dissertation, Universitat Politècnica de València. Accessed February 22, 2020. http://hdl.handle.net/10251/16692.

MLA Handbook (7th Edition):

Reyes Pérez, Antonio. “Linguistic-based Patterns for Figurative Language Processing: The Case of Humor Recognition and Irony Detection .” 2012. Web. 22 Feb 2020.

Vancouver:

Reyes Pérez A. Linguistic-based Patterns for Figurative Language Processing: The Case of Humor Recognition and Irony Detection . [Internet] [Doctoral dissertation]. Universitat Politècnica de València; 2012. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10251/16692.

Council of Science Editors:

Reyes Pérez A. Linguistic-based Patterns for Figurative Language Processing: The Case of Humor Recognition and Irony Detection . [Doctoral Dissertation]. Universitat Politècnica de València; 2012. Available from: http://hdl.handle.net/10251/16692


Hong Kong University of Science and Technology

22. Yu, Jinxing CSE. Joint embeddings of Chinese words, characters, and fine-grained subcharacter components.

Degree: 2017, Hong Kong University of Science and Technology

 Word embeddings have attracted much attention recently given their simplicity of word representation and generalization ability for a lot of downstream tasks. Different from alphabetic… (more)

Subjects/Keywords: Natural language processing (Computer science) ; Chinese language ; Data processing ; Computational linguistics

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APA (6th Edition):

Yu, J. C. (2017). Joint embeddings of Chinese words, characters, and fine-grained subcharacter components. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-93101 ; https://doi.org/10.14711/thesis-991012572162503412 ; http://repository.ust.hk/ir/bitstream/1783.1-93101/1/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):

Yu, Jinxing CSE. “Joint embeddings of Chinese words, characters, and fine-grained subcharacter components.” 2017. Thesis, Hong Kong University of Science and Technology. Accessed February 22, 2020. http://repository.ust.hk/ir/Record/1783.1-93101 ; https://doi.org/10.14711/thesis-991012572162503412 ; http://repository.ust.hk/ir/bitstream/1783.1-93101/1/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):

Yu, Jinxing CSE. “Joint embeddings of Chinese words, characters, and fine-grained subcharacter components.” 2017. Web. 22 Feb 2020.

Vancouver:

Yu JC. Joint embeddings of Chinese words, characters, and fine-grained subcharacter components. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2017. [cited 2020 Feb 22]. Available from: http://repository.ust.hk/ir/Record/1783.1-93101 ; https://doi.org/10.14711/thesis-991012572162503412 ; http://repository.ust.hk/ir/bitstream/1783.1-93101/1/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:

Yu JC. Joint embeddings of Chinese words, characters, and fine-grained subcharacter components. [Thesis]. Hong Kong University of Science and Technology; 2017. Available from: http://repository.ust.hk/ir/Record/1783.1-93101 ; https://doi.org/10.14711/thesis-991012572162503412 ; http://repository.ust.hk/ir/bitstream/1783.1-93101/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Reykjavík University

23. Svavar Kjarrval Lúthersson. Tagging and parsing a large corpus.

Degree: 2010, Reykjavík University

This report is a product of a research where we tried to use existing language processing tools on a larger collection of Icelandic sentences than… (more)

Subjects/Keywords: Máltækni; Natural language processing (Computer science)

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APA (6th Edition):

Lúthersson, S. K. (2010). Tagging and parsing a large corpus. (Thesis). Reykjavík University. Retrieved from http://hdl.handle.net/1946/9883

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):

Lúthersson, Svavar Kjarrval. “Tagging and parsing a large corpus.” 2010. Thesis, Reykjavík University. Accessed February 22, 2020. http://hdl.handle.net/1946/9883.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lúthersson, Svavar Kjarrval. “Tagging and parsing a large corpus.” 2010. Web. 22 Feb 2020.

Vancouver:

Lúthersson SK. Tagging and parsing a large corpus. [Internet] [Thesis]. Reykjavík University; 2010. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/1946/9883.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lúthersson SK. Tagging and parsing a large corpus. [Thesis]. Reykjavík University; 2010. Available from: http://hdl.handle.net/1946/9883

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

24. Zhang, Weiwei. Search Text Based on Locations.

Degree: 2014, Texas A&M University

 To satisfy the current need for finding queried information quickly, search engines, data mining systems, and many other applications have been in development in recent… (more)

Subjects/Keywords: Geographical information retrieval; natural language processing

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APA (6th Edition):

Zhang, W. (2014). Search Text Based on Locations. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153809

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):

Zhang, Weiwei. “Search Text Based on Locations.” 2014. Thesis, Texas A&M University. Accessed February 22, 2020. http://hdl.handle.net/1969.1/153809.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, Weiwei. “Search Text Based on Locations.” 2014. Web. 22 Feb 2020.

Vancouver:

Zhang W. Search Text Based on Locations. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/1969.1/153809.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang W. Search Text Based on Locations. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153809

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Aberdeen

25. Mitchell, Margaret. Generating reference to visible objects.

Degree: PhD, 2013, University of Aberdeen

 In this thesis, I examine human-like language generation from a visual input head-on, exploring how people refer to visible objects in the real world. Using… (more)

Subjects/Keywords: 004; Natural language processing (Computer science)

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APA (6th Edition):

Mitchell, M. (2013). Generating reference to visible objects. (Doctoral Dissertation). University of Aberdeen. Retrieved from http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=201692 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.577669

Chicago Manual of Style (16th Edition):

Mitchell, Margaret. “Generating reference to visible objects.” 2013. Doctoral Dissertation, University of Aberdeen. Accessed February 22, 2020. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=201692 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.577669.

MLA Handbook (7th Edition):

Mitchell, Margaret. “Generating reference to visible objects.” 2013. Web. 22 Feb 2020.

Vancouver:

Mitchell M. Generating reference to visible objects. [Internet] [Doctoral dissertation]. University of Aberdeen; 2013. [cited 2020 Feb 22]. Available from: http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=201692 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.577669.

Council of Science Editors:

Mitchell M. Generating reference to visible objects. [Doctoral Dissertation]. University of Aberdeen; 2013. Available from: http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=201692 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.577669


University of Aberdeen

26. Venour, Chris. A computational model of lexical incongruity in humorous text.

Degree: PhD, 2013, University of Aberdeen

 Many theories of humour claim that incongruity is an essential ingredient of humour. How- ever this idea is poorly understood and little work has been… (more)

Subjects/Keywords: 004; Natural language processing (Computer science)

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APA (6th Edition):

Venour, C. (2013). A computational model of lexical incongruity in humorous text. (Doctoral Dissertation). University of Aberdeen. Retrieved from http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=201735 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.577671

Chicago Manual of Style (16th Edition):

Venour, Chris. “A computational model of lexical incongruity in humorous text.” 2013. Doctoral Dissertation, University of Aberdeen. Accessed February 22, 2020. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=201735 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.577671.

MLA Handbook (7th Edition):

Venour, Chris. “A computational model of lexical incongruity in humorous text.” 2013. Web. 22 Feb 2020.

Vancouver:

Venour C. A computational model of lexical incongruity in humorous text. [Internet] [Doctoral dissertation]. University of Aberdeen; 2013. [cited 2020 Feb 22]. Available from: http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=201735 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.577671.

Council of Science Editors:

Venour C. A computational model of lexical incongruity in humorous text. [Doctoral Dissertation]. University of Aberdeen; 2013. Available from: http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=201735 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.577671


Oregon State University

27. Arbogast, Christian. Assessing Student Conceptual Understanding : Supplementing Deductive Coding with Natural Language Processing Techniques.

Degree: MS, Mechanical Engineering, 2016, Oregon State University

 Assessing student conceptual understanding is a valuable method for gauging specific student learning outcomes but can be difficult and time consuming to measure. This research… (more)

Subjects/Keywords: Conceptual Understanding; Natural language processing (Computer science)

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APA (6th Edition):

Arbogast, C. (2016). Assessing Student Conceptual Understanding : Supplementing Deductive Coding with Natural Language Processing Techniques. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/58551

Chicago Manual of Style (16th Edition):

Arbogast, Christian. “Assessing Student Conceptual Understanding : Supplementing Deductive Coding with Natural Language Processing Techniques.” 2016. Masters Thesis, Oregon State University. Accessed February 22, 2020. http://hdl.handle.net/1957/58551.

MLA Handbook (7th Edition):

Arbogast, Christian. “Assessing Student Conceptual Understanding : Supplementing Deductive Coding with Natural Language Processing Techniques.” 2016. Web. 22 Feb 2020.

Vancouver:

Arbogast C. Assessing Student Conceptual Understanding : Supplementing Deductive Coding with Natural Language Processing Techniques. [Internet] [Masters thesis]. Oregon State University; 2016. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/1957/58551.

Council of Science Editors:

Arbogast C. Assessing Student Conceptual Understanding : Supplementing Deductive Coding with Natural Language Processing Techniques. [Masters Thesis]. Oregon State University; 2016. Available from: http://hdl.handle.net/1957/58551


University of Illinois – Urbana-Champaign

28. Plummer, Bryan A. Grounding natural language phrases in images and video.

Degree: PhD, Computer Science, 2018, University of Illinois – Urbana-Champaign

 Grounding language in images has shown it can help improve performance on many image-language tasks. To spur research on this topic, this dissertation introduces a… (more)

Subjects/Keywords: Computer Vision; Natural Language Processing; Phrase Grounding

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APA (6th Edition):

Plummer, B. A. (2018). Grounding natural language phrases in images and video. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/100977

Chicago Manual of Style (16th Edition):

Plummer, Bryan A. “Grounding natural language phrases in images and video.” 2018. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 22, 2020. http://hdl.handle.net/2142/100977.

MLA Handbook (7th Edition):

Plummer, Bryan A. “Grounding natural language phrases in images and video.” 2018. Web. 22 Feb 2020.

Vancouver:

Plummer BA. Grounding natural language phrases in images and video. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2018. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/2142/100977.

Council of Science Editors:

Plummer BA. Grounding natural language phrases in images and video. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/100977


University of Illinois – Urbana-Champaign

29. Klementiev, Alexandre A. Learning with Incidental Supervision.

Degree: PhD, 0112, 2010, University of Illinois – Urbana-Champaign

 Recent technological advances have facilitated the collection and distribution of a plethora of increasingly diverse and complex data. Supervised learning has been able to provide… (more)

Subjects/Keywords: machine learning; natural language processing; prediction aggregation

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APA (6th Edition):

Klementiev, A. A. (2010). Learning with Incidental Supervision. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/14553

Chicago Manual of Style (16th Edition):

Klementiev, Alexandre A. “Learning with Incidental Supervision.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 22, 2020. http://hdl.handle.net/2142/14553.

MLA Handbook (7th Edition):

Klementiev, Alexandre A. “Learning with Incidental Supervision.” 2010. Web. 22 Feb 2020.

Vancouver:

Klementiev AA. Learning with Incidental Supervision. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/2142/14553.

Council of Science Editors:

Klementiev AA. Learning with Incidental Supervision. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/14553


Brigham Young University

30. Hodgson, Grant Michael. Suggesting Missing Information in Text Documents.

Degree: MS, 2018, Brigham Young University

 A key part of contract drafting involves thinking of issues that have not been addressedand adding language that will address the missing issues. To assist… (more)

Subjects/Keywords: Natural language processing; suggesting; missing; text

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APA (6th Edition):

Hodgson, G. M. (2018). Suggesting Missing Information in Text Documents. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8296&context=etd

Chicago Manual of Style (16th Edition):

Hodgson, Grant Michael. “Suggesting Missing Information in Text Documents.” 2018. Masters Thesis, Brigham Young University. Accessed February 22, 2020. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8296&context=etd.

MLA Handbook (7th Edition):

Hodgson, Grant Michael. “Suggesting Missing Information in Text Documents.” 2018. Web. 22 Feb 2020.

Vancouver:

Hodgson GM. Suggesting Missing Information in Text Documents. [Internet] [Masters thesis]. Brigham Young University; 2018. [cited 2020 Feb 22]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8296&context=etd.

Council of Science Editors:

Hodgson GM. Suggesting Missing Information in Text Documents. [Masters Thesis]. Brigham Young University; 2018. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8296&context=etd

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