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You searched for +publisher:"University of Texas – Austin" +contributor:("Baldridge, Jason"). Showing records 1 – 23 of 23 total matches.

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University of Texas – Austin

1. Rajani, Nazneen Fatema. New topic detection in microblogs and topic model evaluation using topical alignment.

Degree: MSin Computer Sciences, Computer Science, 2014, University of Texas – Austin

 This thesis deals with topic model evaluation and new topic detection in microblogs. Microblogs are short and thus may not carry any contextual clues. Hence… (more)

Subjects/Keywords: Topic models; Topical alignment

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APA (6th Edition):

Rajani, N. F. (2014). New topic detection in microblogs and topic model evaluation using topical alignment. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/25914

Chicago Manual of Style (16th Edition):

Rajani, Nazneen Fatema. “New topic detection in microblogs and topic model evaluation using topical alignment.” 2014. Masters Thesis, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/25914.

MLA Handbook (7th Edition):

Rajani, Nazneen Fatema. “New topic detection in microblogs and topic model evaluation using topical alignment.” 2014. Web. 28 Feb 2021.

Vancouver:

Rajani NF. New topic detection in microblogs and topic model evaluation using topical alignment. [Internet] [Masters thesis]. University of Texas – Austin; 2014. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/25914.

Council of Science Editors:

Rajani NF. New topic detection in microblogs and topic model evaluation using topical alignment. [Masters Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/25914


University of Texas – Austin

2. Ding, Weiwei, 1985-. Weakly supervised part-of-speech tagging for Chinese using label propagation.

Degree: MA, Linguistics, 2011, University of Texas – Austin

 Part-of-speech (POS) tagging is one of the most fundamental and crucial tasks in Natural Language Processing. Chinese POS tagging is challenging because it also involves… (more)

Subjects/Keywords: Chinese part-of-speech tagging; Hidden Markov model; Expectation maximization; Label propagation

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APA (6th Edition):

Ding, Weiwei, 1. (2011). Weakly supervised part-of-speech tagging for Chinese using label propagation. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-05-3193

Chicago Manual of Style (16th Edition):

Ding, Weiwei, 1985-. “Weakly supervised part-of-speech tagging for Chinese using label propagation.” 2011. Masters Thesis, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/ETD-UT-2011-05-3193.

MLA Handbook (7th Edition):

Ding, Weiwei, 1985-. “Weakly supervised part-of-speech tagging for Chinese using label propagation.” 2011. Web. 28 Feb 2021.

Vancouver:

Ding, Weiwei 1. Weakly supervised part-of-speech tagging for Chinese using label propagation. [Internet] [Masters thesis]. University of Texas – Austin; 2011. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-05-3193.

Council of Science Editors:

Ding, Weiwei 1. Weakly supervised part-of-speech tagging for Chinese using label propagation. [Masters Thesis]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-05-3193


University of Texas – Austin

3. DeLozier, Grant Hollis. Data and methods for Gazetteer Independent Toponym Resolution.

Degree: MA, Linguistics, 2016, University of Texas – Austin

 This thesis looks at the computational task of Toponym Resolution from multiple perspectives. In its common form the task requires transforming a place name – e.g.… (more)

Subjects/Keywords: Toponym Resolution; Geolocation; Annotation

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APA (6th Edition):

DeLozier, G. H. (2016). Data and methods for Gazetteer Independent Toponym Resolution. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/38766

Chicago Manual of Style (16th Edition):

DeLozier, Grant Hollis. “Data and methods for Gazetteer Independent Toponym Resolution.” 2016. Masters Thesis, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/38766.

MLA Handbook (7th Edition):

DeLozier, Grant Hollis. “Data and methods for Gazetteer Independent Toponym Resolution.” 2016. Web. 28 Feb 2021.

Vancouver:

DeLozier GH. Data and methods for Gazetteer Independent Toponym Resolution. [Internet] [Masters thesis]. University of Texas – Austin; 2016. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/38766.

Council of Science Editors:

DeLozier GH. Data and methods for Gazetteer Independent Toponym Resolution. [Masters Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/38766


University of Texas – Austin

4. Sudan, Nikita Maple. Using social network information in recommender systems.

Degree: MSin Engineering, Electrical and Computer Engineering, 2011, University of Texas – Austin

 Recommender Systems are used to select online information relevant to a given user. Traditional (memory based) recommenders explore the user-item rating matrix and make recommendations… (more)

Subjects/Keywords: Social networks; Trust; Recommender systems; Rating prediction; Co-clustering; Label propagation

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APA (6th Edition):

Sudan, N. M. (2011). Using social network information in recommender systems. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-08-3855

Chicago Manual of Style (16th Edition):

Sudan, Nikita Maple. “Using social network information in recommender systems.” 2011. Masters Thesis, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/ETD-UT-2011-08-3855.

MLA Handbook (7th Edition):

Sudan, Nikita Maple. “Using social network information in recommender systems.” 2011. Web. 28 Feb 2021.

Vancouver:

Sudan NM. Using social network information in recommender systems. [Internet] [Masters thesis]. University of Texas – Austin; 2011. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-08-3855.

Council of Science Editors:

Sudan NM. Using social network information in recommender systems. [Masters Thesis]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-08-3855


University of Texas – Austin

5. Garrette, Daniel Hunter. Inducing grammars from linguistic universals and realistic amounts of supervision.

Degree: PhD, Artificial intelligence, 2015, University of Texas – Austin

 The best performing NLP models to date are learned from large volumes of manually-annotated data. For tasks like part-of-speech tagging and grammatical parsing, high performance… (more)

Subjects/Keywords: Computer science; Artificial intelligence; Natural language processing; Machine learning; Bayesian statistics; Grammar induction; Parsing; Computational linguistics

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APA (6th Edition):

Garrette, D. H. (2015). Inducing grammars from linguistic universals and realistic amounts of supervision. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/44478

Chicago Manual of Style (16th Edition):

Garrette, Daniel Hunter. “Inducing grammars from linguistic universals and realistic amounts of supervision.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/44478.

MLA Handbook (7th Edition):

Garrette, Daniel Hunter. “Inducing grammars from linguistic universals and realistic amounts of supervision.” 2015. Web. 28 Feb 2021.

Vancouver:

Garrette DH. Inducing grammars from linguistic universals and realistic amounts of supervision. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/44478.

Council of Science Editors:

Garrette DH. Inducing grammars from linguistic universals and realistic amounts of supervision. [Doctoral Dissertation]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/44478

6. -9911-0186. Text-based document geolocation and its application to the digital humanities.

Degree: PhD, Linguistics, 2015, University of Texas – Austin

 This dissertation investigates automatic geolocation of documents (i.e. identification of their location, expressed as latitude/longitude coordinates), based on the text of those documents rather than… (more)

Subjects/Keywords: Geolocation; Computational linguistics; Natural language processing; Digital humanities

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APA (6th Edition):

-9911-0186. (2015). Text-based document geolocation and its application to the digital humanities. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/40313

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

Chicago Manual of Style (16th Edition):

-9911-0186. “Text-based document geolocation and its application to the digital humanities.” 2015. Doctoral Dissertation, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/40313.

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

MLA Handbook (7th Edition):

-9911-0186. “Text-based document geolocation and its application to the digital humanities.” 2015. Web. 28 Feb 2021.

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

Vancouver:

-9911-0186. Text-based document geolocation and its application to the digital humanities. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2015. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/40313.

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

Council of Science Editors:

-9911-0186. Text-based document geolocation and its application to the digital humanities. [Doctoral Dissertation]. University of Texas – Austin; 2015. Available from: http://hdl.handle.net/2152/40313

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


University of Texas – Austin

7. -9322-9685. Discovering latent structures in syntax trees and mixed-type data.

Degree: PhD, Operations Research and Industrial Engineering, 2016, University of Texas – Austin

 Gibbs sampling is a widely applied algorithm to estimate parameters in statistical models. This thesis uses Gibbs sampling to resolve practical problems, especially on natural… (more)

Subjects/Keywords: Gibbs sampling; Natural language processing; Bayesian statistics; Factor analysis; Syntax trees parsing

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APA (6th Edition):

-9322-9685. (2016). Discovering latent structures in syntax trees and mixed-type data. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/68368

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

Chicago Manual of Style (16th Edition):

-9322-9685. “Discovering latent structures in syntax trees and mixed-type data.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/68368.

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

MLA Handbook (7th Edition):

-9322-9685. “Discovering latent structures in syntax trees and mixed-type data.” 2016. Web. 28 Feb 2021.

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

Vancouver:

-9322-9685. Discovering latent structures in syntax trees and mixed-type data. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/68368.

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

Council of Science Editors:

-9322-9685. Discovering latent structures in syntax trees and mixed-type data. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/68368

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


University of Texas – Austin

8. -2270-3295. Supervision for syntactic parsing of low-resource languages.

Degree: PhD, Linguistics, 2016, University of Texas – Austin

 Developing tools for doing computational linguistics work in low-resource scenarios often requires creating resources from scratch, especially when considering highly specialized domains or languages with… (more)

Subjects/Keywords: Linguistics; Computer science; Computational linguistics; Natural language processing; NLP; Parsing; Low-resource; Supervision

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APA (6th Edition):

-2270-3295. (2016). Supervision for syntactic parsing of low-resource languages. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/45746

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

Chicago Manual of Style (16th Edition):

-2270-3295. “Supervision for syntactic parsing of low-resource languages.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/45746.

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

MLA Handbook (7th Edition):

-2270-3295. “Supervision for syntactic parsing of low-resource languages.” 2016. Web. 28 Feb 2021.

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

Vancouver:

-2270-3295. Supervision for syntactic parsing of low-resource languages. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/45746.

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

Council of Science Editors:

-2270-3295. Supervision for syntactic parsing of low-resource languages. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/45746

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

9. Evans, James Spencer. Characterizing the relationship in social media between language and perspective on science-based reasoning as justification for belief.

Degree: MA, Linguistics, 2014, University of Texas – Austin

 Beliefs that are not the result of science-based interpretation of evidence (e.g., belief in ghosts or belief that prayer is effective) are extremely common. Science… (more)

Subjects/Keywords: Twitter; Perspective; Social media; Perspective classification

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APA (6th Edition):

Evans, J. S. (2014). Characterizing the relationship in social media between language and perspective on science-based reasoning as justification for belief. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/26188

Chicago Manual of Style (16th Edition):

Evans, James Spencer. “Characterizing the relationship in social media between language and perspective on science-based reasoning as justification for belief.” 2014. Masters Thesis, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/26188.

MLA Handbook (7th Edition):

Evans, James Spencer. “Characterizing the relationship in social media between language and perspective on science-based reasoning as justification for belief.” 2014. Web. 28 Feb 2021.

Vancouver:

Evans JS. Characterizing the relationship in social media between language and perspective on science-based reasoning as justification for belief. [Internet] [Masters thesis]. University of Texas – Austin; 2014. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/26188.

Council of Science Editors:

Evans JS. Characterizing the relationship in social media between language and perspective on science-based reasoning as justification for belief. [Masters Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/26188

10. Ponvert, Elias Franchot. Global models for temporal relation classification.

Degree: MA, Linguistics, 2008, University of Texas – Austin

 Temporal relation classification is one of the most challenging areas of natural language processing. Advances in this area have direct relevance to improving practical applications,… (more)

Subjects/Keywords: Temporal relation classification; Temporal semantic processing; Natural language processing

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APA (6th Edition):

Ponvert, E. F. (2008). Global models for temporal relation classification. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/19160

Chicago Manual of Style (16th Edition):

Ponvert, Elias Franchot. “Global models for temporal relation classification.” 2008. Masters Thesis, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/19160.

MLA Handbook (7th Edition):

Ponvert, Elias Franchot. “Global models for temporal relation classification.” 2008. Web. 28 Feb 2021.

Vancouver:

Ponvert EF. Global models for temporal relation classification. [Internet] [Masters thesis]. University of Texas – Austin; 2008. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/19160.

Council of Science Editors:

Ponvert EF. Global models for temporal relation classification. [Masters Thesis]. University of Texas – Austin; 2008. Available from: http://hdl.handle.net/2152/19160

11. Speriosu, Michael Adrian. Methods and applications of text-driven toponym resolution with indirect supervision.

Degree: PhD, Linguistics, 2013, University of Texas – Austin

 This thesis addresses the problem of toponym resolution. Given an ambiguous placename like Springfield in some natural language context, the task is to automatically predict… (more)

Subjects/Keywords: Toponym resolution; Semi-supervised learning; Computational linguistics

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APA (6th Edition):

Speriosu, M. A. (2013). Methods and applications of text-driven toponym resolution with indirect supervision. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/21303

Chicago Manual of Style (16th Edition):

Speriosu, Michael Adrian. “Methods and applications of text-driven toponym resolution with indirect supervision.” 2013. Doctoral Dissertation, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/21303.

MLA Handbook (7th Edition):

Speriosu, Michael Adrian. “Methods and applications of text-driven toponym resolution with indirect supervision.” 2013. Web. 28 Feb 2021.

Vancouver:

Speriosu MA. Methods and applications of text-driven toponym resolution with indirect supervision. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2013. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/21303.

Council of Science Editors:

Speriosu MA. Methods and applications of text-driven toponym resolution with indirect supervision. [Doctoral Dissertation]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/21303

12. Mielens, Jason David. Unknown word sequences in HPSG.

Degree: MA, Linguistics, 2014, University of Texas – Austin

 This work consists of an investigation into the properties of unknown words in HPSG, and in particular into the phenomenon of multi-word unknown expressions consisting… (more)

Subjects/Keywords: Parsing; HPSG; Unknowns; CRF; Multi-word expressions

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APA (6th Edition):

Mielens, J. D. (2014). Unknown word sequences in HPSG. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/26312

Chicago Manual of Style (16th Edition):

Mielens, Jason David. “Unknown word sequences in HPSG.” 2014. Masters Thesis, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/26312.

MLA Handbook (7th Edition):

Mielens, Jason David. “Unknown word sequences in HPSG.” 2014. Web. 28 Feb 2021.

Vancouver:

Mielens JD. Unknown word sequences in HPSG. [Internet] [Masters thesis]. University of Texas – Austin; 2014. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/26312.

Council of Science Editors:

Mielens JD. Unknown word sequences in HPSG. [Masters Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/26312

13. Skiles, Erik David. Document geolocation using language models built from lexical and geographic similarity.

Degree: MA, Linguistics, 2012, University of Texas – Austin

 This thesis investigates the automatic identification of the location of doc- uments. This process of geolocation aids in toponym resolution, document summarization, and geographic-based marketing.… (more)

Subjects/Keywords: Geolocation

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APA (6th Edition):

Skiles, E. D. (2012). Document geolocation using language models built from lexical and geographic similarity. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2012-05-5717

Chicago Manual of Style (16th Edition):

Skiles, Erik David. “Document geolocation using language models built from lexical and geographic similarity.” 2012. Masters Thesis, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/ETD-UT-2012-05-5717.

MLA Handbook (7th Edition):

Skiles, Erik David. “Document geolocation using language models built from lexical and geographic similarity.” 2012. Web. 28 Feb 2021.

Vancouver:

Skiles ED. Document geolocation using language models built from lexical and geographic similarity. [Internet] [Masters thesis]. University of Texas – Austin; 2012. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/ETD-UT-2012-05-5717.

Council of Science Editors:

Skiles ED. Document geolocation using language models built from lexical and geographic similarity. [Masters Thesis]. University of Texas – Austin; 2012. Available from: http://hdl.handle.net/2152/ETD-UT-2012-05-5717

14. Hafner, Simon. Typesafe NLP pipelines on Spark.

Degree: MA, Lingustics, 2014, University of Texas – Austin

 Natural language pipelines consist of various natural language algorithms that use the annotations of a previous algorithm to compute more annotations. These algorithms tend to… (more)

Subjects/Keywords: Natural language processing; NLP; Pipelines; Spark; Slab

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APA (6th Edition):

Hafner, S. (2014). Typesafe NLP pipelines on Spark. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/28654

Chicago Manual of Style (16th Edition):

Hafner, Simon. “Typesafe NLP pipelines on Spark.” 2014. Masters Thesis, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/28654.

MLA Handbook (7th Edition):

Hafner, Simon. “Typesafe NLP pipelines on Spark.” 2014. Web. 28 Feb 2021.

Vancouver:

Hafner S. Typesafe NLP pipelines on Spark. [Internet] [Masters thesis]. University of Texas – Austin; 2014. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/28654.

Council of Science Editors:

Hafner S. Typesafe NLP pipelines on Spark. [Masters Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/28654

15. Brewster, Joshua Blake. Dependency based CCG derivation and application.

Degree: MA, Linguistics, 2010, University of Texas – Austin

 This paper presents and evaluates an algorithm to translate a dependency treebank into a Combinatory Categorial Grammar (CCG) lexicon. The dependency relations between a head… (more)

Subjects/Keywords: CCG derivation; Dependency treebank; Computational linguistics; Combinatory Categorical Grammar; Lexicon; Dependency grammars

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APA (6th Edition):

Brewster, J. B. (2010). Dependency based CCG derivation and application. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-12-2563

Chicago Manual of Style (16th Edition):

Brewster, Joshua Blake. “Dependency based CCG derivation and application.” 2010. Masters Thesis, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/ETD-UT-2010-12-2563.

MLA Handbook (7th Edition):

Brewster, Joshua Blake. “Dependency based CCG derivation and application.” 2010. Web. 28 Feb 2021.

Vancouver:

Brewster JB. Dependency based CCG derivation and application. [Internet] [Masters thesis]. University of Texas – Austin; 2010. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-12-2563.

Council of Science Editors:

Brewster JB. Dependency based CCG derivation and application. [Masters Thesis]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-12-2563

16. Speriosu, Michael Adrian. Semisupervised sentiment analysis of tweets based on noisy emoticon labels.

Degree: MA, Linguistics, 2011, University of Texas – Austin

 There is high demand for computational tools that can automatically label tweets (Twitter messages) as having positive or negative sentiment, but great effort and expense… (more)

Subjects/Keywords: Sentiment analysis; Tweets; Emoticons; Noisy labels; Maximum Entropy classifier; Machine learned classifier

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APA (6th Edition):

Speriosu, M. A. (2011). Semisupervised sentiment analysis of tweets based on noisy emoticon labels. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-08-3823

Chicago Manual of Style (16th Edition):

Speriosu, Michael Adrian. “Semisupervised sentiment analysis of tweets based on noisy emoticon labels.” 2011. Masters Thesis, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/ETD-UT-2011-08-3823.

MLA Handbook (7th Edition):

Speriosu, Michael Adrian. “Semisupervised sentiment analysis of tweets based on noisy emoticon labels.” 2011. Web. 28 Feb 2021.

Vancouver:

Speriosu MA. Semisupervised sentiment analysis of tweets based on noisy emoticon labels. [Internet] [Masters thesis]. University of Texas – Austin; 2011. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-08-3823.

Council of Science Editors:

Speriosu MA. Semisupervised sentiment analysis of tweets based on noisy emoticon labels. [Masters Thesis]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-08-3823

17. Wing, Benjamin Patai. Data-rich document geotagging using geodesic grids.

Degree: MA, Linguistics, 2011, University of Texas – Austin

 This thesis investigates automatic geolocation (i.e. identification of the location, expressed as latitude/longitude coordinates) of documents. Geolocation can be an effective means of summarizing large… (more)

Subjects/Keywords: Geospatial data; Geographical positions; Geodatabases; Computational linguistics; Geolocation; Geographic information retrieval; Wikipedia; Twitter; KL divergence; Geotagging

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APA (6th Edition):

Wing, B. P. (2011). Data-rich document geotagging using geodesic grids. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-05-3632

Chicago Manual of Style (16th Edition):

Wing, Benjamin Patai. “Data-rich document geotagging using geodesic grids.” 2011. Masters Thesis, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/ETD-UT-2011-05-3632.

MLA Handbook (7th Edition):

Wing, Benjamin Patai. “Data-rich document geotagging using geodesic grids.” 2011. Web. 28 Feb 2021.

Vancouver:

Wing BP. Data-rich document geotagging using geodesic grids. [Internet] [Masters thesis]. University of Texas – Austin; 2011. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-05-3632.

Council of Science Editors:

Wing BP. Data-rich document geotagging using geodesic grids. [Masters Thesis]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-05-3632

18. Palmer, Alexis Mary. Semi-automated annotation and active learning for language documentation.

Degree: PhD, Linguistics, 2009, University of Texas – Austin

 By the end of this century, half of the approximately 6000 extant languages will cease to be transmitted from one generation to the next. The… (more)

Subjects/Keywords: Active learning; Computational linguistics; Language documentation; Language endangerment; Uspanteko; Semi-automated annotation; Interlinear text; Annotator expertise

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APA (6th Edition):

Palmer, A. M. (2009). Semi-automated annotation and active learning for language documentation. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/19805

Chicago Manual of Style (16th Edition):

Palmer, Alexis Mary. “Semi-automated annotation and active learning for language documentation.” 2009. Doctoral Dissertation, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/19805.

MLA Handbook (7th Edition):

Palmer, Alexis Mary. “Semi-automated annotation and active learning for language documentation.” 2009. Web. 28 Feb 2021.

Vancouver:

Palmer AM. Semi-automated annotation and active learning for language documentation. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2009. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/19805.

Council of Science Editors:

Palmer AM. Semi-automated annotation and active learning for language documentation. [Doctoral Dissertation]. University of Texas – Austin; 2009. Available from: http://hdl.handle.net/2152/19805

19. Moon, Taesun, Ph. D. Word meaning in context as a paraphrase distribution : evidence, learning, and inference.

Degree: PhD, Linguistics, 2011, University of Texas – Austin

 In this dissertation, we introduce a graph-based model of instance-based, usage meaning that is cast as a problem of probabilistic inference. The main aim of… (more)

Subjects/Keywords: Computational linguistics; Lexical semantics; Probabilistic graphical models; Natural language processing; Word sense disambiguation; Paraphrasing

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APA (6th Edition):

Moon, Taesun, P. D. (2011). Word meaning in context as a paraphrase distribution : evidence, learning, and inference. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-08-4143

Chicago Manual of Style (16th Edition):

Moon, Taesun, Ph D. “Word meaning in context as a paraphrase distribution : evidence, learning, and inference.” 2011. Doctoral Dissertation, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/ETD-UT-2011-08-4143.

MLA Handbook (7th Edition):

Moon, Taesun, Ph D. “Word meaning in context as a paraphrase distribution : evidence, learning, and inference.” 2011. Web. 28 Feb 2021.

Vancouver:

Moon, Taesun PD. Word meaning in context as a paraphrase distribution : evidence, learning, and inference. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2011. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-08-4143.

Council of Science Editors:

Moon, Taesun PD. Word meaning in context as a paraphrase distribution : evidence, learning, and inference. [Doctoral Dissertation]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-08-4143

20. Ponvert, Elias Franchot. Unsupervised partial parsing.

Degree: PhD, Linguistics, 2011, University of Texas – Austin

 The subject matter of this thesis is the problem of learning to discover grammatical structure from raw text alone, without access to explicit instruction or… (more)

Subjects/Keywords: Computational linguistics; Natural language processing; Unsupervised; Parsing; Chunking; Text processing

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APA (6th Edition):

Ponvert, E. F. (2011). Unsupervised partial parsing. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2011-08-3991

Chicago Manual of Style (16th Edition):

Ponvert, Elias Franchot. “Unsupervised partial parsing.” 2011. Doctoral Dissertation, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/ETD-UT-2011-08-3991.

MLA Handbook (7th Edition):

Ponvert, Elias Franchot. “Unsupervised partial parsing.” 2011. Web. 28 Feb 2021.

Vancouver:

Ponvert EF. Unsupervised partial parsing. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2011. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/ETD-UT-2011-08-3991.

Council of Science Editors:

Ponvert EF. Unsupervised partial parsing. [Doctoral Dissertation]. University of Texas – Austin; 2011. Available from: http://hdl.handle.net/2152/ETD-UT-2011-08-3991


University of Texas – Austin

21. Denis, P. (Pascal). New learning models for robust reference resolution.

Degree: PhD, Linguistics, 2007, University of Texas – Austin

 An important challenge for the automatic understanding of natural language texts is the correct computation of the discourse entities that are mentioned therein —persons, locations,… (more)

Subjects/Keywords: Reference (Linguistics); English language – Discourse analysis

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APA (6th Edition):

Denis, P. (. (2007). New learning models for robust reference resolution. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/3566

Chicago Manual of Style (16th Edition):

Denis, P (Pascal). “New learning models for robust reference resolution.” 2007. Doctoral Dissertation, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/3566.

MLA Handbook (7th Edition):

Denis, P (Pascal). “New learning models for robust reference resolution.” 2007. Web. 28 Feb 2021.

Vancouver:

Denis P(. New learning models for robust reference resolution. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2007. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/3566.

Council of Science Editors:

Denis P(. New learning models for robust reference resolution. [Doctoral Dissertation]. University of Texas – Austin; 2007. Available from: http://hdl.handle.net/2152/3566


University of Texas – Austin

22. Ramanujam, Srivatsan. Factorial Hidden Markov Models for full and weakly supervised supertagging.

Degree: MA, Computer Sciences, 2009, University of Texas – Austin

 For many sequence prediction tasks in Natural Language Processing, modeling dependencies between individual predictions can be used to improve prediction accuracy of the sequence as… (more)

Subjects/Keywords: Hidden Markov Models; Bayesian Models; Categorial Grammar; Supertagging; Joint Inference

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APA (6th Edition):

Ramanujam, S. (2009). Factorial Hidden Markov Models for full and weakly supervised supertagging. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2009-08-350

Chicago Manual of Style (16th Edition):

Ramanujam, Srivatsan. “Factorial Hidden Markov Models for full and weakly supervised supertagging.” 2009. Masters Thesis, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/ETD-UT-2009-08-350.

MLA Handbook (7th Edition):

Ramanujam, Srivatsan. “Factorial Hidden Markov Models for full and weakly supervised supertagging.” 2009. Web. 28 Feb 2021.

Vancouver:

Ramanujam S. Factorial Hidden Markov Models for full and weakly supervised supertagging. [Internet] [Masters thesis]. University of Texas – Austin; 2009. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/ETD-UT-2009-08-350.

Council of Science Editors:

Ramanujam S. Factorial Hidden Markov Models for full and weakly supervised supertagging. [Masters Thesis]. University of Texas – Austin; 2009. Available from: http://hdl.handle.net/2152/ETD-UT-2009-08-350


University of Texas – Austin

23. Hoyt, Frederick MacNeill. Negative concord in Levantine Arabic.

Degree: PhD, Linguistics, 2010, University of Texas – Austin

 This dissertation is a study of negative concord in Levantine Arabic (Israel/Palestine, Jordan, Lebanon, Syria), where negative concord is the failure of an n-word to… (more)

Subjects/Keywords: Arabic language; Levantine Arabic; Colloquial Arabic; Syntax; Semantics; Negation; Negative concord

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APA (6th Edition):

Hoyt, F. M. (2010). Negative concord in Levantine Arabic. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-08-1763

Chicago Manual of Style (16th Edition):

Hoyt, Frederick MacNeill. “Negative concord in Levantine Arabic.” 2010. Doctoral Dissertation, University of Texas – Austin. Accessed February 28, 2021. http://hdl.handle.net/2152/ETD-UT-2010-08-1763.

MLA Handbook (7th Edition):

Hoyt, Frederick MacNeill. “Negative concord in Levantine Arabic.” 2010. Web. 28 Feb 2021.

Vancouver:

Hoyt FM. Negative concord in Levantine Arabic. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2010. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-08-1763.

Council of Science Editors:

Hoyt FM. Negative concord in Levantine Arabic. [Doctoral Dissertation]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-08-1763

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