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You searched for +publisher:"Brown University" +contributor:("Charniak, Eugene"). Showing records 1 – 10 of 10 total matches.

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1. McClosky, David Jacob. Any Domain Parsing: Automatic Domain Adaptation for Natural Language Parsing.

Degree: PhD, Computer Science, 2009, Brown University

 Current efforts in syntactic parsing are largely data-driven. These methods require labeled examples of syntactic structures to learn statistical patterns governing these structures. Labeled data… (more)

Subjects/Keywords: constituency parsing

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

APA (6th Edition):

McClosky, D. J. (2009). Any Domain Parsing: Automatic Domain Adaptation for Natural Language Parsing. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:240/

Chicago Manual of Style (16th Edition):

McClosky, David Jacob. “Any Domain Parsing: Automatic Domain Adaptation for Natural Language Parsing.” 2009. Doctoral Dissertation, Brown University. Accessed September 21, 2019. https://repository.library.brown.edu/studio/item/bdr:240/.

MLA Handbook (7th Edition):

McClosky, David Jacob. “Any Domain Parsing: Automatic Domain Adaptation for Natural Language Parsing.” 2009. Web. 21 Sep 2019.

Vancouver:

McClosky DJ. Any Domain Parsing: Automatic Domain Adaptation for Natural Language Parsing. [Internet] [Doctoral dissertation]. Brown University; 2009. [cited 2019 Sep 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:240/.

Council of Science Editors:

McClosky DJ. Any Domain Parsing: Automatic Domain Adaptation for Natural Language Parsing. [Doctoral Dissertation]. Brown University; 2009. Available from: https://repository.library.brown.edu/studio/item/bdr:240/

2. Mason, Rebecca. Data-driven Image Captioning.

Degree: PhD, Computer Science, 2016, Brown University

 Human communication is naturally multimodal. On the web, images frequently appear alongside text: for example, product images and descriptions on shopping websites, or social media… (more)

Subjects/Keywords: natural language

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APA (6th Edition):

Mason, R. (2016). Data-driven Image Captioning. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:674362/

Chicago Manual of Style (16th Edition):

Mason, Rebecca. “Data-driven Image Captioning.” 2016. Doctoral Dissertation, Brown University. Accessed September 21, 2019. https://repository.library.brown.edu/studio/item/bdr:674362/.

MLA Handbook (7th Edition):

Mason, Rebecca. “Data-driven Image Captioning.” 2016. Web. 21 Sep 2019.

Vancouver:

Mason R. Data-driven Image Captioning. [Internet] [Doctoral dissertation]. Brown University; 2016. [cited 2019 Sep 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:674362/.

Council of Science Editors:

Mason R. Data-driven Image Captioning. [Doctoral Dissertation]. Brown University; 2016. Available from: https://repository.library.brown.edu/studio/item/bdr:674362/

3. Elsner, Micha. Generalizing Local Coherence Modeling.

Degree: PhD, Computer Science, 2011, Brown University

 A well-written text follows an overall structure, with each sentence following naturally from the ones before and leading into the ones which come afterwards. We… (more)

Subjects/Keywords: discourse

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APA (6th Edition):

Elsner, M. (2011). Generalizing Local Coherence Modeling. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:11230/

Chicago Manual of Style (16th Edition):

Elsner, Micha. “Generalizing Local Coherence Modeling.” 2011. Doctoral Dissertation, Brown University. Accessed September 21, 2019. https://repository.library.brown.edu/studio/item/bdr:11230/.

MLA Handbook (7th Edition):

Elsner, Micha. “Generalizing Local Coherence Modeling.” 2011. Web. 21 Sep 2019.

Vancouver:

Elsner M. Generalizing Local Coherence Modeling. [Internet] [Doctoral dissertation]. Brown University; 2011. [cited 2019 Sep 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:11230/.

Council of Science Editors:

Elsner M. Generalizing Local Coherence Modeling. [Doctoral Dissertation]. Brown University; 2011. Available from: https://repository.library.brown.edu/studio/item/bdr:11230/

4. Lease, Matthew A. Beyond keywords: finding information more accurately and easily using natural language.

Degree: PhD, Computer Science, 2009, Brown University

 Information retrieval (IR) has become a ubiquitous technology for quickly and easily finding information on a given topic amidst the wealth of digital content available… (more)

Subjects/Keywords: supervised learning

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APA (6th Edition):

Lease, M. A. (2009). Beyond keywords: finding information more accurately and easily using natural language. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:206/

Chicago Manual of Style (16th Edition):

Lease, Matthew A. “Beyond keywords: finding information more accurately and easily using natural language.” 2009. Doctoral Dissertation, Brown University. Accessed September 21, 2019. https://repository.library.brown.edu/studio/item/bdr:206/.

MLA Handbook (7th Edition):

Lease, Matthew A. “Beyond keywords: finding information more accurately and easily using natural language.” 2009. Web. 21 Sep 2019.

Vancouver:

Lease MA. Beyond keywords: finding information more accurately and easily using natural language. [Internet] [Doctoral dissertation]. Brown University; 2009. [cited 2019 Sep 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:206/.

Council of Science Editors:

Lease MA. Beyond keywords: finding information more accurately and easily using natural language. [Doctoral Dissertation]. Brown University; 2009. Available from: https://repository.library.brown.edu/studio/item/bdr:206/

5. Lamar, Michael Taylor. Unsupervised Linguistic Inference.

Degree: PhD, Applied Mathematics, 2010, Brown University

 This dissertation describes two novel algorithms for fully unsupervised part-of-speech tagging (POST), both of which exceed the performance of the current state-of-the-art models in both… (more)

Subjects/Keywords: part of speech tagging

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APA (6th Edition):

Lamar, M. T. (2010). Unsupervised Linguistic Inference. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:11128/

Chicago Manual of Style (16th Edition):

Lamar, Michael Taylor. “Unsupervised Linguistic Inference.” 2010. Doctoral Dissertation, Brown University. Accessed September 21, 2019. https://repository.library.brown.edu/studio/item/bdr:11128/.

MLA Handbook (7th Edition):

Lamar, Michael Taylor. “Unsupervised Linguistic Inference.” 2010. Web. 21 Sep 2019.

Vancouver:

Lamar MT. Unsupervised Linguistic Inference. [Internet] [Doctoral dissertation]. Brown University; 2010. [cited 2019 Sep 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:11128/.

Council of Science Editors:

Lamar MT. Unsupervised Linguistic Inference. [Doctoral Dissertation]. Brown University; 2010. Available from: https://repository.library.brown.edu/studio/item/bdr:11128/

6. Brawner, Stephen Andrew. Algorithms for the Personalization of AI for Robots and the Smart Home.

Degree: Department of Computer Science, 2018, Brown University

 Just as an interconnected-computerized world has produced large amounts of data resulting in exciting challenges for machine learning, connected households with robots and smart devices… (more)

Subjects/Keywords: Machine Learning

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APA (6th Edition):

Brawner, S. A. (2018). Algorithms for the Personalization of AI for Robots and the Smart Home. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:792905/

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):

Brawner, Stephen Andrew. “Algorithms for the Personalization of AI for Robots and the Smart Home.” 2018. Thesis, Brown University. Accessed September 21, 2019. https://repository.library.brown.edu/studio/item/bdr:792905/.

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

MLA Handbook (7th Edition):

Brawner, Stephen Andrew. “Algorithms for the Personalization of AI for Robots and the Smart Home.” 2018. Web. 21 Sep 2019.

Vancouver:

Brawner SA. Algorithms for the Personalization of AI for Robots and the Smart Home. [Internet] [Thesis]. Brown University; 2018. [cited 2019 Sep 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:792905/.

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

Council of Science Editors:

Brawner SA. Algorithms for the Personalization of AI for Robots and the Smart Home. [Thesis]. Brown University; 2018. Available from: https://repository.library.brown.edu/studio/item/bdr:792905/

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

7. Swanson, Ben. Computationally Connecting Language Transfer and Second Language Education.

Degree: PhD, Computer Science, 2016, Brown University

 We explore the role of software assistance in native language targeted second language education. Beginning with the classification task of determining an author’s native language… (more)

Subjects/Keywords: Contrastive Analysis

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APA (6th Edition):

Swanson, B. (2016). Computationally Connecting Language Transfer and Second Language Education. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:674219/

Chicago Manual of Style (16th Edition):

Swanson, Ben. “Computationally Connecting Language Transfer and Second Language Education.” 2016. Doctoral Dissertation, Brown University. Accessed September 21, 2019. https://repository.library.brown.edu/studio/item/bdr:674219/.

MLA Handbook (7th Edition):

Swanson, Ben. “Computationally Connecting Language Transfer and Second Language Education.” 2016. Web. 21 Sep 2019.

Vancouver:

Swanson B. Computationally Connecting Language Transfer and Second Language Education. [Internet] [Doctoral dissertation]. Brown University; 2016. [cited 2019 Sep 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:674219/.

Council of Science Editors:

Swanson B. Computationally Connecting Language Transfer and Second Language Education. [Doctoral Dissertation]. Brown University; 2016. Available from: https://repository.library.brown.edu/studio/item/bdr:674219/

8. Kim, Daeil. Scalable Bayesian Nonparametric Models for Networks and Documents.

Degree: Department of Computer Science, 2016, Brown University

 We develop Bayesian nonparametric statistical models of document collections and social networks. Extending classic parametric topic models of documents, and stochastic block models of networks,… (more)

Subjects/Keywords: Bayesian Nonparametrics

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

APA (6th Edition):

Kim, D. (2016). Scalable Bayesian Nonparametric Models for Networks and Documents. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:733381/

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):

Kim, Daeil. “Scalable Bayesian Nonparametric Models for Networks and Documents.” 2016. Thesis, Brown University. Accessed September 21, 2019. https://repository.library.brown.edu/studio/item/bdr:733381/.

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

MLA Handbook (7th Edition):

Kim, Daeil. “Scalable Bayesian Nonparametric Models for Networks and Documents.” 2016. Web. 21 Sep 2019.

Vancouver:

Kim D. Scalable Bayesian Nonparametric Models for Networks and Documents. [Internet] [Thesis]. Brown University; 2016. [cited 2019 Sep 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:733381/.

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

Council of Science Editors:

Kim D. Scalable Bayesian Nonparametric Models for Networks and Documents. [Thesis]. Brown University; 2016. Available from: https://repository.library.brown.edu/studio/item/bdr:733381/

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

9. 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 September 21, 2019. 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. 21 Sep 2019.

Vancouver:

Choe DK. Toward Solving Penn Treebank Parsing. [Internet] [Thesis]. Brown University; 2017. [cited 2019 Sep 21]. 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

10. Headden, William P. Unsupervised Bayesian Lexicalized Dependency Grammar Induction.

Degree: PhD, Computer Science, 2012, Brown University

 This dissertation investigates learning dependency grammars for statistical natural language parsing from corpora without parse tree annotations. Most successful work in unsupervised dependency grammar induction… (more)

Subjects/Keywords: Grammar Induction

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APA (6th Edition):

Headden, W. P. (2012). Unsupervised Bayesian Lexicalized Dependency Grammar Induction. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:297607/

Chicago Manual of Style (16th Edition):

Headden, William P. “Unsupervised Bayesian Lexicalized Dependency Grammar Induction.” 2012. Doctoral Dissertation, Brown University. Accessed September 21, 2019. https://repository.library.brown.edu/studio/item/bdr:297607/.

MLA Handbook (7th Edition):

Headden, William P. “Unsupervised Bayesian Lexicalized Dependency Grammar Induction.” 2012. Web. 21 Sep 2019.

Vancouver:

Headden WP. Unsupervised Bayesian Lexicalized Dependency Grammar Induction. [Internet] [Doctoral dissertation]. Brown University; 2012. [cited 2019 Sep 21]. Available from: https://repository.library.brown.edu/studio/item/bdr:297607/.

Council of Science Editors:

Headden WP. Unsupervised Bayesian Lexicalized Dependency Grammar Induction. [Doctoral Dissertation]. Brown University; 2012. Available from: https://repository.library.brown.edu/studio/item/bdr:297607/

.