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You searched for subject:(Semantic parsing). Showing records 1 – 30 of 44 total matches.

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University of Texas – Austin

1. Ge, Ruifang. Learning for semantic parsing using statistical syntactic parsing techniques.

Degree: Computer Sciences, 2010, University of Texas – Austin

 Natural language understanding is a sub-field of natural language processing, which builds automated systems to understand natural language. It is such an ambitious task that… (more)

Subjects/Keywords: Semantic parsing; Statistical syntactic parsing

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

APA (6th Edition):

Ge, R. (2010). Learning for semantic parsing using statistical syntactic parsing techniques. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/26599

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):

Ge, Ruifang. “Learning for semantic parsing using statistical syntactic parsing techniques.” 2010. Thesis, University of Texas – Austin. Accessed June 18, 2019. http://hdl.handle.net/2152/26599.

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

MLA Handbook (7th Edition):

Ge, Ruifang. “Learning for semantic parsing using statistical syntactic parsing techniques.” 2010. Web. 18 Jun 2019.

Vancouver:

Ge R. Learning for semantic parsing using statistical syntactic parsing techniques. [Internet] [Thesis]. University of Texas – Austin; 2010. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/2152/26599.

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

Council of Science Editors:

Ge R. Learning for semantic parsing using statistical syntactic parsing techniques. [Thesis]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/26599

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

2. Arthur, Philip. Semantic Parsing of Ambiguous Input through Paraphrasing and Verification : 言い換えと検証による曖昧な入力の意味解析; イイカエ ト ケンショウ ニ ヨル アイマイ ナ ニュウリョク ノ イミ カイセキ.

Degree: Nara Institute of Science and Technology / 奈良先端科学技術大学院大学

Subjects/Keywords: Semantic Parsing

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

APA (6th Edition):

Arthur, P. (n.d.). Semantic Parsing of Ambiguous Input through Paraphrasing and Verification : 言い換えと検証による曖昧な入力の意味解析; イイカエ ト ケンショウ ニ ヨル アイマイ ナ ニュウリョク ノ イミ カイセキ. (Thesis). Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Retrieved from http://hdl.handle.net/10061/10441

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Arthur, Philip. “Semantic Parsing of Ambiguous Input through Paraphrasing and Verification : 言い換えと検証による曖昧な入力の意味解析; イイカエ ト ケンショウ ニ ヨル アイマイ ナ ニュウリョク ノ イミ カイセキ.” Thesis, Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Accessed June 18, 2019. http://hdl.handle.net/10061/10441.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Arthur, Philip. “Semantic Parsing of Ambiguous Input through Paraphrasing and Verification : 言い換えと検証による曖昧な入力の意味解析; イイカエ ト ケンショウ ニ ヨル アイマイ ナ ニュウリョク ノ イミ カイセキ.” Web. 18 Jun 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Arthur P. Semantic Parsing of Ambiguous Input through Paraphrasing and Verification : 言い換えと検証による曖昧な入力の意味解析; イイカエ ト ケンショウ ニ ヨル アイマイ ナ ニュウリョク ノ イミ カイセキ. [Internet] [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10061/10441.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Arthur P. Semantic Parsing of Ambiguous Input through Paraphrasing and Verification : 言い換えと検証による曖昧な入力の意味解析; イイカエ ト ケンショウ ニ ヨル アイマイ ナ ニュウリョク ノ イミ カイセキ. [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; Available from: http://hdl.handle.net/10061/10441

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.


University of Edinburgh

3. Cheng, Jianpeng. Lifecycle of neural semantic parsing.

Degree: PhD, 2019, University of Edinburgh

 Humans are born with the ability to learn to perceive, comprehend and communicate with language. Computing machines, on the other hand, only understand programming languages.… (more)

Subjects/Keywords: neural networks; semantic parsing

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

APA (6th Edition):

Cheng, J. (2019). Lifecycle of neural semantic parsing. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/35554

Chicago Manual of Style (16th Edition):

Cheng, Jianpeng. “Lifecycle of neural semantic parsing.” 2019. Doctoral Dissertation, University of Edinburgh. Accessed June 18, 2019. http://hdl.handle.net/1842/35554.

MLA Handbook (7th Edition):

Cheng, Jianpeng. “Lifecycle of neural semantic parsing.” 2019. Web. 18 Jun 2019.

Vancouver:

Cheng J. Lifecycle of neural semantic parsing. [Internet] [Doctoral dissertation]. University of Edinburgh; 2019. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/1842/35554.

Council of Science Editors:

Cheng J. Lifecycle of neural semantic parsing. [Doctoral Dissertation]. University of Edinburgh; 2019. Available from: http://hdl.handle.net/1842/35554


University of Edinburgh

4. Reddy Goli, Venkata Sivakumar. Syntax-mediated semantic parsing.

Degree: PhD, 2017, University of Edinburgh

 Querying a database to retrieve an answer, telling a robot to perform an action, or teaching a computer to play a game are tasks requiring… (more)

Subjects/Keywords: semantic parsing; syntax; dependencies; logic; semantic representation

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

APA (6th Edition):

Reddy Goli, V. S. (2017). Syntax-mediated semantic parsing. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/29521

Chicago Manual of Style (16th Edition):

Reddy Goli, Venkata Sivakumar. “Syntax-mediated semantic parsing.” 2017. Doctoral Dissertation, University of Edinburgh. Accessed June 18, 2019. http://hdl.handle.net/1842/29521.

MLA Handbook (7th Edition):

Reddy Goli, Venkata Sivakumar. “Syntax-mediated semantic parsing.” 2017. Web. 18 Jun 2019.

Vancouver:

Reddy Goli VS. Syntax-mediated semantic parsing. [Internet] [Doctoral dissertation]. University of Edinburgh; 2017. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/1842/29521.

Council of Science Editors:

Reddy Goli VS. Syntax-mediated semantic parsing. [Doctoral Dissertation]. University of Edinburgh; 2017. Available from: http://hdl.handle.net/1842/29521


Brandeis University

5. Shen, Hongyuan. Semantic Parsing in Spoken Language Understanding using Abstract Meaning Representation.

Degree: 2018, Brandeis University

 With the increasing interest in Spoken Language Understanding (SLU) related applications such as voice assistant and automated answering system, we aim to find a better… (more)

Subjects/Keywords: SLU; AMR; annotation; semantic parsing; grounding; NLP

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

APA (6th Edition):

Shen, H. (2018). Semantic Parsing in Spoken Language Understanding using Abstract Meaning Representation. (Thesis). Brandeis University. Retrieved from http://hdl.handle.net/10192/35918

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):

Shen, Hongyuan. “Semantic Parsing in Spoken Language Understanding using Abstract Meaning Representation.” 2018. Thesis, Brandeis University. Accessed June 18, 2019. http://hdl.handle.net/10192/35918.

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

MLA Handbook (7th Edition):

Shen, Hongyuan. “Semantic Parsing in Spoken Language Understanding using Abstract Meaning Representation.” 2018. Web. 18 Jun 2019.

Vancouver:

Shen H. Semantic Parsing in Spoken Language Understanding using Abstract Meaning Representation. [Internet] [Thesis]. Brandeis University; 2018. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10192/35918.

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

Council of Science Editors:

Shen H. Semantic Parsing in Spoken Language Understanding using Abstract Meaning Representation. [Thesis]. Brandeis University; 2018. Available from: http://hdl.handle.net/10192/35918

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


Université de Lorraine

6. Xiao, Chunyang. Neural-Symbolic Learning for Semantic Parsing : Analyse sémantique avec apprentissage neuro-symbolique.

Degree: Docteur es, Informatique, 2017, Université de Lorraine

Notre but dans cette thèse est de construire un système qui réponde à une question en langue naturelle (NL) en représentant sa sémantique comme une… (more)

Subjects/Keywords: Parsing sémantique; Réseaux neuronaux; Méthodes symboliques; Semantic parsing; Deep learning; Symbolic methods; 006.35

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

APA (6th Edition):

Xiao, C. (2017). Neural-Symbolic Learning for Semantic Parsing : Analyse sémantique avec apprentissage neuro-symbolique. (Doctoral Dissertation). Université de Lorraine. Retrieved from http://www.theses.fr/2017LORR0268

Chicago Manual of Style (16th Edition):

Xiao, Chunyang. “Neural-Symbolic Learning for Semantic Parsing : Analyse sémantique avec apprentissage neuro-symbolique.” 2017. Doctoral Dissertation, Université de Lorraine. Accessed June 18, 2019. http://www.theses.fr/2017LORR0268.

MLA Handbook (7th Edition):

Xiao, Chunyang. “Neural-Symbolic Learning for Semantic Parsing : Analyse sémantique avec apprentissage neuro-symbolique.” 2017. Web. 18 Jun 2019.

Vancouver:

Xiao C. Neural-Symbolic Learning for Semantic Parsing : Analyse sémantique avec apprentissage neuro-symbolique. [Internet] [Doctoral dissertation]. Université de Lorraine; 2017. [cited 2019 Jun 18]. Available from: http://www.theses.fr/2017LORR0268.

Council of Science Editors:

Xiao C. Neural-Symbolic Learning for Semantic Parsing : Analyse sémantique avec apprentissage neuro-symbolique. [Doctoral Dissertation]. Université de Lorraine; 2017. Available from: http://www.theses.fr/2017LORR0268


University of Washington

7. FitzGerald, Nicholas Arthur. Neural Models for Large-Scale Semantic Role Labelling.

Degree: PhD, 2018, University of Washington

 Recovering predicate-argument structures from natural language sentences is an important task in natural language processing (NLP), where the goal is to identify ``who did what… (more)

Subjects/Keywords: Deep Learning; Frame Semantic Parsing; Natural Language Processing; Parsing; Semantic Role Labelling; Semantics; Computer science; Linguistics; Computer science and engineering

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

APA (6th Edition):

FitzGerald, N. A. (2018). Neural Models for Large-Scale Semantic Role Labelling. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/43017

Chicago Manual of Style (16th Edition):

FitzGerald, Nicholas Arthur. “Neural Models for Large-Scale Semantic Role Labelling.” 2018. Doctoral Dissertation, University of Washington. Accessed June 18, 2019. http://hdl.handle.net/1773/43017.

MLA Handbook (7th Edition):

FitzGerald, Nicholas Arthur. “Neural Models for Large-Scale Semantic Role Labelling.” 2018. Web. 18 Jun 2019.

Vancouver:

FitzGerald NA. Neural Models for Large-Scale Semantic Role Labelling. [Internet] [Doctoral dissertation]. University of Washington; 2018. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/1773/43017.

Council of Science Editors:

FitzGerald NA. Neural Models for Large-Scale Semantic Role Labelling. [Doctoral Dissertation]. University of Washington; 2018. Available from: http://hdl.handle.net/1773/43017


University of Oxford

8. Buys, Jan Moolman. Incremental generative models for syntactic and semantic natural language processing.

Degree: PhD, 2017, University of Oxford

 This thesis investigates the role of linguistically-motivated generative models of syntax and semantic structure in natural language processing (NLP). Syntactic well-formedness is crucial in language… (more)

Subjects/Keywords: Natural Language Processing; Computer Science; Machine Learning; Computational Linguistics; Parsing; Deep Learning; Generative Models; Language Modelling; Semantic Parsing; Dependency Parsing; Incremental Parsing

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

APA (6th Edition):

Buys, J. M. (2017). Incremental generative models for syntactic and semantic natural language processing. (Doctoral Dissertation). University of Oxford. Retrieved from https://ora.ox.ac.uk/objects/uuid:a9a7b5cf-3bb1-4e08-b109-de06bf387d1d ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.736099

Chicago Manual of Style (16th Edition):

Buys, Jan Moolman. “Incremental generative models for syntactic and semantic natural language processing.” 2017. Doctoral Dissertation, University of Oxford. Accessed June 18, 2019. https://ora.ox.ac.uk/objects/uuid:a9a7b5cf-3bb1-4e08-b109-de06bf387d1d ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.736099.

MLA Handbook (7th Edition):

Buys, Jan Moolman. “Incremental generative models for syntactic and semantic natural language processing.” 2017. Web. 18 Jun 2019.

Vancouver:

Buys JM. Incremental generative models for syntactic and semantic natural language processing. [Internet] [Doctoral dissertation]. University of Oxford; 2017. [cited 2019 Jun 18]. Available from: https://ora.ox.ac.uk/objects/uuid:a9a7b5cf-3bb1-4e08-b109-de06bf387d1d ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.736099.

Council of Science Editors:

Buys JM. Incremental generative models for syntactic and semantic natural language processing. [Doctoral Dissertation]. University of Oxford; 2017. Available from: https://ora.ox.ac.uk/objects/uuid:a9a7b5cf-3bb1-4e08-b109-de06bf387d1d ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.736099


University of Michigan

9. Li, Fei. Querying RDBMS using Natural Language.

Degree: PhD, Computer Science & Engineering, 2017, University of Michigan

 It is often challenging to specify queries against a relational database since SQL requires its users to know the exact schema of the database, the… (more)

Subjects/Keywords: NLIDB; Natural Language Processing; Database Usability; Semantic Parsing; Computer Science; Engineering

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

APA (6th Edition):

Li, F. (2017). Querying RDBMS using Natural Language. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/138709

Chicago Manual of Style (16th Edition):

Li, Fei. “Querying RDBMS using Natural Language.” 2017. Doctoral Dissertation, University of Michigan. Accessed June 18, 2019. http://hdl.handle.net/2027.42/138709.

MLA Handbook (7th Edition):

Li, Fei. “Querying RDBMS using Natural Language.” 2017. Web. 18 Jun 2019.

Vancouver:

Li F. Querying RDBMS using Natural Language. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/2027.42/138709.

Council of Science Editors:

Li F. Querying RDBMS using Natural Language. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/138709

10. Su, Yu. Towards Democratizing Data Science with Natural Language Interfaces.

Degree: 2018, University of California – eScholarship, University of California

 Data science has the potential to reshape many sectors of the modern society. This potential can be realized to its maximum only when data science… (more)

Subjects/Keywords: Computer science; Data Science; Natural Language Interface; Question Answering; Semantic Parsing

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

APA (6th Edition):

Su, Y. (2018). Towards Democratizing Data Science with Natural Language Interfaces. (Thesis). University of California – eScholarship, University of California. Retrieved from http://www.escholarship.org/uc/item/9jm7s302

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):

Su, Yu. “Towards Democratizing Data Science with Natural Language Interfaces.” 2018. Thesis, University of California – eScholarship, University of California. Accessed June 18, 2019. http://www.escholarship.org/uc/item/9jm7s302.

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

MLA Handbook (7th Edition):

Su, Yu. “Towards Democratizing Data Science with Natural Language Interfaces.” 2018. Web. 18 Jun 2019.

Vancouver:

Su Y. Towards Democratizing Data Science with Natural Language Interfaces. [Internet] [Thesis]. University of California – eScholarship, University of California; 2018. [cited 2019 Jun 18]. Available from: http://www.escholarship.org/uc/item/9jm7s302.

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

Council of Science Editors:

Su Y. Towards Democratizing Data Science with Natural Language Interfaces. [Thesis]. University of California – eScholarship, University of California; 2018. Available from: http://www.escholarship.org/uc/item/9jm7s302

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


Linköping University

11. Roxbo, Daniel. A Detailed Analysis of Semantic Dependency Parsing with Deep Neural Networks.

Degree: Human-Centered systems, 2019, Linköping University

  The use of Long Short Term Memory (LSTM) networks continues to yield better results in natural language processing tasks. One area which recently has… (more)

Subjects/Keywords: Semantic Dependency Parsing; LSTM; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Roxbo, D. (2019). A Detailed Analysis of Semantic Dependency Parsing with Deep Neural Networks. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-156831

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):

Roxbo, Daniel. “A Detailed Analysis of Semantic Dependency Parsing with Deep Neural Networks.” 2019. Thesis, Linköping University. Accessed June 18, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-156831.

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

MLA Handbook (7th Edition):

Roxbo, Daniel. “A Detailed Analysis of Semantic Dependency Parsing with Deep Neural Networks.” 2019. Web. 18 Jun 2019.

Vancouver:

Roxbo D. A Detailed Analysis of Semantic Dependency Parsing with Deep Neural Networks. [Internet] [Thesis]. Linköping University; 2019. [cited 2019 Jun 18]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-156831.

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

Council of Science Editors:

Roxbo D. A Detailed Analysis of Semantic Dependency Parsing with Deep Neural Networks. [Thesis]. Linköping University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-156831

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


University of Rochester

12. Peng, Xiaochang. Mapping natural language sentences to semantic graphs.

Degree: PhD, 2018, University of Rochester

 In recent years, there has been growing interest in graph representations of semantics as a deeper understanding of natural language is increasingly important for user… (more)

Subjects/Keywords: Natural language processing; Semantic graph parsing; Abstract meaning representation; SHRG

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

APA (6th Edition):

Peng, X. (2018). Mapping natural language sentences to semantic graphs. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/34131

Chicago Manual of Style (16th Edition):

Peng, Xiaochang. “Mapping natural language sentences to semantic graphs.” 2018. Doctoral Dissertation, University of Rochester. Accessed June 18, 2019. http://hdl.handle.net/1802/34131.

MLA Handbook (7th Edition):

Peng, Xiaochang. “Mapping natural language sentences to semantic graphs.” 2018. Web. 18 Jun 2019.

Vancouver:

Peng X. Mapping natural language sentences to semantic graphs. [Internet] [Doctoral dissertation]. University of Rochester; 2018. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/1802/34131.

Council of Science Editors:

Peng X. Mapping natural language sentences to semantic graphs. [Doctoral Dissertation]. University of Rochester; 2018. Available from: http://hdl.handle.net/1802/34131


Uppsala University

13. Byström, Adam. From Intent to Code : Using Natural Language Processing.

Degree: Division of Computing Science, 2017, Uppsala University

  Programming and the possibility to express one’s intent to a machine is becoming a very important skill in our digitalizing society. Today, instructing a… (more)

Subjects/Keywords: Natural Language Processing; Semantic Role Labeling; Dependency Parsing; Game; Computational thinking; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Byström, A. (2017). From Intent to Code : Using Natural Language Processing. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-325238

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):

Byström, Adam. “From Intent to Code : Using Natural Language Processing.” 2017. Thesis, Uppsala University. Accessed June 18, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-325238.

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

MLA Handbook (7th Edition):

Byström, Adam. “From Intent to Code : Using Natural Language Processing.” 2017. Web. 18 Jun 2019.

Vancouver:

Byström A. From Intent to Code : Using Natural Language Processing. [Internet] [Thesis]. Uppsala University; 2017. [cited 2019 Jun 18]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-325238.

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

Council of Science Editors:

Byström A. From Intent to Code : Using Natural Language Processing. [Thesis]. Uppsala University; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-325238

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

14. Jones, Bevan Keeley. Learning words and syntactic cues in highly ambiguous contexts.

Degree: PhD, 2016, University of Edinburgh

 The cross-situational word learning paradigm argues that word meanings can be approximated by word-object associations, computed from co-occurrence statistics between words and entities in the… (more)

Subjects/Keywords: 413.028; word learning; semantic parsing; computational linguistics; computational modeling; graph grammar; frog stories; variational Bayes

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

APA (6th Edition):

Jones, B. K. (2016). Learning words and syntactic cues in highly ambiguous contexts. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/15959

Chicago Manual of Style (16th Edition):

Jones, Bevan Keeley. “Learning words and syntactic cues in highly ambiguous contexts.” 2016. Doctoral Dissertation, University of Edinburgh. Accessed June 18, 2019. http://hdl.handle.net/1842/15959.

MLA Handbook (7th Edition):

Jones, Bevan Keeley. “Learning words and syntactic cues in highly ambiguous contexts.” 2016. Web. 18 Jun 2019.

Vancouver:

Jones BK. Learning words and syntactic cues in highly ambiguous contexts. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/1842/15959.

Council of Science Editors:

Jones BK. Learning words and syntactic cues in highly ambiguous contexts. [Doctoral Dissertation]. University of Edinburgh; 2016. Available from: http://hdl.handle.net/1842/15959


University of Colorado

15. Chen, Wei-Te. Abstract Meaning Representation Parsing with Rich Linguistic Features.

Degree: PhD, 2017, University of Colorado

  Lexical and syntactic information have been shown to play important roles in semantic parsing. However, there is still no solid research on the relationship… (more)

Subjects/Keywords: natural language processing; natural language understanding; neural network; semantic parsing; Artificial Intelligence and Robotics

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

APA (6th Edition):

Chen, W. (2017). Abstract Meaning Representation Parsing with Rich Linguistic Features. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/155

Chicago Manual of Style (16th Edition):

Chen, Wei-Te. “Abstract Meaning Representation Parsing with Rich Linguistic Features.” 2017. Doctoral Dissertation, University of Colorado. Accessed June 18, 2019. https://scholar.colorado.edu/csci_gradetds/155.

MLA Handbook (7th Edition):

Chen, Wei-Te. “Abstract Meaning Representation Parsing with Rich Linguistic Features.” 2017. Web. 18 Jun 2019.

Vancouver:

Chen W. Abstract Meaning Representation Parsing with Rich Linguistic Features. [Internet] [Doctoral dissertation]. University of Colorado; 2017. [cited 2019 Jun 18]. Available from: https://scholar.colorado.edu/csci_gradetds/155.

Council of Science Editors:

Chen W. Abstract Meaning Representation Parsing with Rich Linguistic Features. [Doctoral Dissertation]. University of Colorado; 2017. Available from: https://scholar.colorado.edu/csci_gradetds/155


University of Illinois – Urbana-Champaign

16. Pampari, Anusri. emrQA: A large corpus for question answering on electronic medical records.

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

 We propose a novel methodology to generate domain-specific large-scale question answering (QA) datasets by re-purposing existing annotations for other NLP tasks. We demonstrate an instance… (more)

Subjects/Keywords: Electronic Medical Records; Question Answering; Logical Forms; Semantic Parsing; Dataset Generation; Closed Domain; i2b2

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

APA (6th Edition):

Pampari, A. (2018). emrQA: A large corpus for question answering on electronic medical records. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/102500

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):

Pampari, Anusri. “emrQA: A large corpus for question answering on electronic medical records.” 2018. Thesis, University of Illinois – Urbana-Champaign. Accessed June 18, 2019. http://hdl.handle.net/2142/102500.

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

MLA Handbook (7th Edition):

Pampari, Anusri. “emrQA: A large corpus for question answering on electronic medical records.” 2018. Web. 18 Jun 2019.

Vancouver:

Pampari A. emrQA: A large corpus for question answering on electronic medical records. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2018. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/2142/102500.

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

Council of Science Editors:

Pampari A. emrQA: A large corpus for question answering on electronic medical records. [Thesis]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/102500

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


University of Oxford

17. Kočiský, Tomáš. Deep learning for reading and understanding language.

Degree: PhD, 2017, University of Oxford

 This thesis presents novel tasks and deep learning methods for machine reading comprehension and question answering with the goal of achieving natural language understanding. First,… (more)

Subjects/Keywords: Computer Science; Natural Language Processing; Computational Linguistics; Deep Learning; Reading Comprehension; Semantic Parsing

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

APA (6th Edition):

Kočiský, T. (2017). Deep learning for reading and understanding language. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:cc45e366-cdd8-495b-af42-dfd726700ff0 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.757769

Chicago Manual of Style (16th Edition):

Kočiský, Tomáš. “Deep learning for reading and understanding language.” 2017. Doctoral Dissertation, University of Oxford. Accessed June 18, 2019. http://ora.ox.ac.uk/objects/uuid:cc45e366-cdd8-495b-af42-dfd726700ff0 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.757769.

MLA Handbook (7th Edition):

Kočiský, Tomáš. “Deep learning for reading and understanding language.” 2017. Web. 18 Jun 2019.

Vancouver:

Kočiský T. Deep learning for reading and understanding language. [Internet] [Doctoral dissertation]. University of Oxford; 2017. [cited 2019 Jun 18]. Available from: http://ora.ox.ac.uk/objects/uuid:cc45e366-cdd8-495b-af42-dfd726700ff0 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.757769.

Council of Science Editors:

Kočiský T. Deep learning for reading and understanding language. [Doctoral Dissertation]. University of Oxford; 2017. Available from: http://ora.ox.ac.uk/objects/uuid:cc45e366-cdd8-495b-af42-dfd726700ff0 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.757769


University of Texas – Austin

18. Chaurasia, Shobhit. Dialog for natural language to code.

Degree: Computer Sciences, 2017, University of Texas – Austin

 Generating computer code from natural language descriptions has been a long-standing problem in computational linguistics. Prior work in this domain has restricted itself to generating… (more)

Subjects/Keywords: Dialog; Interactive systems; Neural network; Deep learning; Semantic parsing; Computer code; Software engineering

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

APA (6th Edition):

Chaurasia, S. (2017). Dialog for natural language to code. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/62886

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):

Chaurasia, Shobhit. “Dialog for natural language to code.” 2017. Thesis, University of Texas – Austin. Accessed June 18, 2019. http://hdl.handle.net/2152/62886.

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

MLA Handbook (7th Edition):

Chaurasia, Shobhit. “Dialog for natural language to code.” 2017. Web. 18 Jun 2019.

Vancouver:

Chaurasia S. Dialog for natural language to code. [Internet] [Thesis]. University of Texas – Austin; 2017. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/2152/62886.

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

Council of Science Editors:

Chaurasia S. Dialog for natural language to code. [Thesis]. University of Texas – Austin; 2017. Available from: http://hdl.handle.net/2152/62886

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


University of Minnesota

19. Nguyen, Luan. Generalized categorial grammar for unbounded dependencies recovery.

Degree: PhD, Computer Science, 2014, University of Minnesota

 Accurate recovery of predicate-argument dependencies is vital for interpretation tasks like information extraction and question answering, and unbounded dependencies may account for a significant portion… (more)

Subjects/Keywords: COLING 2012; Corpus reannotation; Generalized categorial grammar; Semantic inference; Syntax parsing; Unbounded dependency recovery

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

APA (6th Edition):

Nguyen, L. (2014). Generalized categorial grammar for unbounded dependencies recovery. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/162686

Chicago Manual of Style (16th Edition):

Nguyen, Luan. “Generalized categorial grammar for unbounded dependencies recovery.” 2014. Doctoral Dissertation, University of Minnesota. Accessed June 18, 2019. http://hdl.handle.net/11299/162686.

MLA Handbook (7th Edition):

Nguyen, Luan. “Generalized categorial grammar for unbounded dependencies recovery.” 2014. Web. 18 Jun 2019.

Vancouver:

Nguyen L. Generalized categorial grammar for unbounded dependencies recovery. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/11299/162686.

Council of Science Editors:

Nguyen L. Generalized categorial grammar for unbounded dependencies recovery. [Doctoral Dissertation]. University of Minnesota; 2014. Available from: http://hdl.handle.net/11299/162686


Australian National University

20. Liu, Buyu. Efficient multi-level scene understanding in videos .

Degree: 2016, Australian National University

 Automatic video parsing is a key step towards human-level dynamic scene understanding, and a fundamental problem in computer vision. A core issue in video understanding… (more)

Subjects/Keywords: Semantic video segmentation; Multi-level scene understanding; Efficient inference; Cost-aware scene parsing

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

APA (6th Edition):

Liu, B. (2016). Efficient multi-level scene understanding in videos . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/110787

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):

Liu, Buyu. “Efficient multi-level scene understanding in videos .” 2016. Thesis, Australian National University. Accessed June 18, 2019. http://hdl.handle.net/1885/110787.

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

MLA Handbook (7th Edition):

Liu, Buyu. “Efficient multi-level scene understanding in videos .” 2016. Web. 18 Jun 2019.

Vancouver:

Liu B. Efficient multi-level scene understanding in videos . [Internet] [Thesis]. Australian National University; 2016. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/1885/110787.

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

Council of Science Editors:

Liu B. Efficient multi-level scene understanding in videos . [Thesis]. Australian National University; 2016. Available from: http://hdl.handle.net/1885/110787

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


University of Plymouth

21. Peters, Michael. The development of a semantic model for the interpretation of mathematics including the use of technology.

Degree: PhD, 2010, University of Plymouth

 The semantic model developed in this research was in response to the difficulty a group of mathematics learners had with conventional mathematical language and their… (more)

Subjects/Keywords: 375; mathematics education, semantic model, semantic reasoning, syntactic reasoning, conceptual reasoning, parsing mathematic constructs, technology, instrumentation

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

APA (6th Edition):

Peters, M. (2010). The development of a semantic model for the interpretation of mathematics including the use of technology. (Doctoral Dissertation). University of Plymouth. Retrieved from http://hdl.handle.net/10026.1/292

Chicago Manual of Style (16th Edition):

Peters, Michael. “The development of a semantic model for the interpretation of mathematics including the use of technology.” 2010. Doctoral Dissertation, University of Plymouth. Accessed June 18, 2019. http://hdl.handle.net/10026.1/292.

MLA Handbook (7th Edition):

Peters, Michael. “The development of a semantic model for the interpretation of mathematics including the use of technology.” 2010. Web. 18 Jun 2019.

Vancouver:

Peters M. The development of a semantic model for the interpretation of mathematics including the use of technology. [Internet] [Doctoral dissertation]. University of Plymouth; 2010. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10026.1/292.

Council of Science Editors:

Peters M. The development of a semantic model for the interpretation of mathematics including the use of technology. [Doctoral Dissertation]. University of Plymouth; 2010. Available from: http://hdl.handle.net/10026.1/292

22. Gadde, Raghu Deep. Segmentation sémantique d'images fortement structurées et faiblement structurées : Semantic Segmentation of Highly Structured and Weakly Structured Images.

Degree: Docteur es, Signal, Image, Automatique, 2017, Université Paris-Est

Cette thèse pour but de développer des méthodes de segmentation pour des scènes fortement structurées (ex. bâtiments et environnements urbains) ou faiblement structurées (ex. paysages… (more)

Subjects/Keywords: Grammar learning; Facade parsing; Facade segmentation; Aemantic segmentation; Cnn; Auto-Context; Grammar learning; Facade parsing; Facade segmentation; Semantic segmentation; Cnn; Auto-Context

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

APA (6th Edition):

Gadde, R. D. (2017). Segmentation sémantique d'images fortement structurées et faiblement structurées : Semantic Segmentation of Highly Structured and Weakly Structured Images. (Doctoral Dissertation). Université Paris-Est. Retrieved from http://www.theses.fr/2017PESC1083

Chicago Manual of Style (16th Edition):

Gadde, Raghu Deep. “Segmentation sémantique d'images fortement structurées et faiblement structurées : Semantic Segmentation of Highly Structured and Weakly Structured Images.” 2017. Doctoral Dissertation, Université Paris-Est. Accessed June 18, 2019. http://www.theses.fr/2017PESC1083.

MLA Handbook (7th Edition):

Gadde, Raghu Deep. “Segmentation sémantique d'images fortement structurées et faiblement structurées : Semantic Segmentation of Highly Structured and Weakly Structured Images.” 2017. Web. 18 Jun 2019.

Vancouver:

Gadde RD. Segmentation sémantique d'images fortement structurées et faiblement structurées : Semantic Segmentation of Highly Structured and Weakly Structured Images. [Internet] [Doctoral dissertation]. Université Paris-Est; 2017. [cited 2019 Jun 18]. Available from: http://www.theses.fr/2017PESC1083.

Council of Science Editors:

Gadde RD. Segmentation sémantique d'images fortement structurées et faiblement structurées : Semantic Segmentation of Highly Structured and Weakly Structured Images. [Doctoral Dissertation]. Université Paris-Est; 2017. Available from: http://www.theses.fr/2017PESC1083


University of Colorado

23. Choi, Jinho D. Optimization of Natural Language Processing Components for Robustness and Scalability.

Degree: PhD, Computer Science, 2012, University of Colorado

  This thesis focuses on the optimization of nlp components for robustness and scalability. Three kinds of nlp components are used for our experiments, a… (more)

Subjects/Keywords: Dependency conversion; Dependency parsing; Part-of-speech tagging; Semantic role labeling; Artificial Intelligence and Robotics; Computer Sciences; Linguistics

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

APA (6th Edition):

Choi, J. D. (2012). Optimization of Natural Language Processing Components for Robustness and Scalability. (Doctoral Dissertation). University of Colorado. Retrieved from http://scholar.colorado.edu/csci_gradetds/46

Chicago Manual of Style (16th Edition):

Choi, Jinho D. “Optimization of Natural Language Processing Components for Robustness and Scalability.” 2012. Doctoral Dissertation, University of Colorado. Accessed June 18, 2019. http://scholar.colorado.edu/csci_gradetds/46.

MLA Handbook (7th Edition):

Choi, Jinho D. “Optimization of Natural Language Processing Components for Robustness and Scalability.” 2012. Web. 18 Jun 2019.

Vancouver:

Choi JD. Optimization of Natural Language Processing Components for Robustness and Scalability. [Internet] [Doctoral dissertation]. University of Colorado; 2012. [cited 2019 Jun 18]. Available from: http://scholar.colorado.edu/csci_gradetds/46.

Council of Science Editors:

Choi JD. Optimization of Natural Language Processing Components for Robustness and Scalability. [Doctoral Dissertation]. University of Colorado; 2012. Available from: http://scholar.colorado.edu/csci_gradetds/46


University of Minnesota

24. Wang, Yan. Creating Domain Specific Resources For Building Semantic Role Labling System For Operative Notes.

Degree: PhD, Health Informatics, 2015, University of Minnesota

 Operative notes contain rich information about techniques, instruments, and materials used in surgeries. With widespread electronic health record (EHR) system adoption throughout healthcare, operative reports… (more)

Subjects/Keywords: electronic health record; information extraction; operative notes; predicate argument structure; semantic role labeling; unlexicalized PCFG parsing

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

APA (6th Edition):

Wang, Y. (2015). Creating Domain Specific Resources For Building Semantic Role Labling System For Operative Notes. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/175363

Chicago Manual of Style (16th Edition):

Wang, Yan. “Creating Domain Specific Resources For Building Semantic Role Labling System For Operative Notes.” 2015. Doctoral Dissertation, University of Minnesota. Accessed June 18, 2019. http://hdl.handle.net/11299/175363.

MLA Handbook (7th Edition):

Wang, Yan. “Creating Domain Specific Resources For Building Semantic Role Labling System For Operative Notes.” 2015. Web. 18 Jun 2019.

Vancouver:

Wang Y. Creating Domain Specific Resources For Building Semantic Role Labling System For Operative Notes. [Internet] [Doctoral dissertation]. University of Minnesota; 2015. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/11299/175363.

Council of Science Editors:

Wang Y. Creating Domain Specific Resources For Building Semantic Role Labling System For Operative Notes. [Doctoral Dissertation]. University of Minnesota; 2015. Available from: http://hdl.handle.net/11299/175363


Uppsala University

25. Callin, Jimmy. Word Representations and Machine Learning Models for Implicit Sense Classification in Shallow Discourse Parsing.

Degree: Linguistics and Philology, 2017, Uppsala University

  CoNLL 2015 featured a shared task on shallow discourse parsing. In 2016, the efforts continued with an increasing focus on sense classification. In the… (more)

Subjects/Keywords: machine learning; neural networks; word representations; word embeddings; distributional semantic models; word vectors; discourse parsing; shallow discourse parsing; maskininlärning; neurala nätverk; ordrepresentationer; distributionella semantiska modeller; diskursparsning; Language Technology (Computational Linguistics); Språkteknologi (språkvetenskaplig databehandling)

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

APA (6th Edition):

Callin, J. (2017). Word Representations and Machine Learning Models for Implicit Sense Classification in Shallow Discourse Parsing. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-325876

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):

Callin, Jimmy. “Word Representations and Machine Learning Models for Implicit Sense Classification in Shallow Discourse Parsing.” 2017. Thesis, Uppsala University. Accessed June 18, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-325876.

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

MLA Handbook (7th Edition):

Callin, Jimmy. “Word Representations and Machine Learning Models for Implicit Sense Classification in Shallow Discourse Parsing.” 2017. Web. 18 Jun 2019.

Vancouver:

Callin J. Word Representations and Machine Learning Models for Implicit Sense Classification in Shallow Discourse Parsing. [Internet] [Thesis]. Uppsala University; 2017. [cited 2019 Jun 18]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-325876.

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

Council of Science Editors:

Callin J. Word Representations and Machine Learning Models for Implicit Sense Classification in Shallow Discourse Parsing. [Thesis]. Uppsala University; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-325876

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

26. Tafforeau, Jérémie. Modèle joint pour le traitement automatique de la langue : perspectives au travers des réseaux de neurones : Join model for NLP : a DNN framework.

Degree: Docteur es, Mathématiques et informatique, 2017, Aix Marseille Université

Les recherches en Traitement Automatique des Langues (TAL) ont identifié différents niveaux d'analyse lexicale, syntaxique et sémantique. Il en découle un découpage hiérarchique des différentes… (more)

Subjects/Keywords: Traitement de la Langue; Analyse syntaxique; Analyse sémantique; Apprentissage automatique; Réseaux de neurones profonds; Multitâche; Natural Language Processing; Syntactic & Semantic Parsing; Machine Learning; Deep Neural Networks; Multitask; 004

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

APA (6th Edition):

Tafforeau, J. (2017). Modèle joint pour le traitement automatique de la langue : perspectives au travers des réseaux de neurones : Join model for NLP : a DNN framework. (Doctoral Dissertation). Aix Marseille Université. Retrieved from http://www.theses.fr/2017AIXM0430

Chicago Manual of Style (16th Edition):

Tafforeau, Jérémie. “Modèle joint pour le traitement automatique de la langue : perspectives au travers des réseaux de neurones : Join model for NLP : a DNN framework.” 2017. Doctoral Dissertation, Aix Marseille Université. Accessed June 18, 2019. http://www.theses.fr/2017AIXM0430.

MLA Handbook (7th Edition):

Tafforeau, Jérémie. “Modèle joint pour le traitement automatique de la langue : perspectives au travers des réseaux de neurones : Join model for NLP : a DNN framework.” 2017. Web. 18 Jun 2019.

Vancouver:

Tafforeau J. Modèle joint pour le traitement automatique de la langue : perspectives au travers des réseaux de neurones : Join model for NLP : a DNN framework. [Internet] [Doctoral dissertation]. Aix Marseille Université 2017. [cited 2019 Jun 18]. Available from: http://www.theses.fr/2017AIXM0430.

Council of Science Editors:

Tafforeau J. Modèle joint pour le traitement automatique de la langue : perspectives au travers des réseaux de neurones : Join model for NLP : a DNN framework. [Doctoral Dissertation]. Aix Marseille Université 2017. Available from: http://www.theses.fr/2017AIXM0430

27. Pan, Hong. Superparsing with Improved Segmentation Boundaries through Nonparametric Context .

Degree: 2015, University of Ottawa

 Scene parsing, or segmenting all the objects in an image and identifying their categories, is one of the core problems of computer vision. In order… (more)

Subjects/Keywords: Semantic Segmentation; Nonparametric scene parsing; Context; Random Fields

…80 List of Figures 1.1 High-level overview of general image parsing systems based on… …3 Example labeling resutls of superparsing system incorporating semantic context… …5 3.1 System pipeline of scene parsing. . . . . . . . . . . . . . . . . . . . . . . 32… …Introduction 1.1 Motivation We have developed an image parsing system to produce object-level… …solutions have appeared recently as image parsing approaches [35, 63]. Image parsing… 

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

APA (6th Edition):

Pan, H. (2015). Superparsing with Improved Segmentation Boundaries through Nonparametric Context . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/32329

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):

Pan, Hong. “Superparsing with Improved Segmentation Boundaries through Nonparametric Context .” 2015. Thesis, University of Ottawa. Accessed June 18, 2019. http://hdl.handle.net/10393/32329.

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

MLA Handbook (7th Edition):

Pan, Hong. “Superparsing with Improved Segmentation Boundaries through Nonparametric Context .” 2015. Web. 18 Jun 2019.

Vancouver:

Pan H. Superparsing with Improved Segmentation Boundaries through Nonparametric Context . [Internet] [Thesis]. University of Ottawa; 2015. [cited 2019 Jun 18]. Available from: http://hdl.handle.net/10393/32329.

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

Council of Science Editors:

Pan H. Superparsing with Improved Segmentation Boundaries through Nonparametric Context . [Thesis]. University of Ottawa; 2015. Available from: http://hdl.handle.net/10393/32329

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

28. DONG JIAN. Towards Unified Object Analytics.

Degree: 2014, National University of Singapore

Subjects/Keywords: Visual Recognition; Object Classification; Object Detection; Semantic Segmentation; Human Parsing; Human Pose Estimation

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

APA (6th Edition):

JIAN, D. (2014). Towards Unified Object Analytics. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/113320

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):

JIAN, DONG. “Towards Unified Object Analytics.” 2014. Thesis, National University of Singapore. Accessed June 18, 2019. http://scholarbank.nus.edu.sg/handle/10635/113320.

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

MLA Handbook (7th Edition):

JIAN, DONG. “Towards Unified Object Analytics.” 2014. Web. 18 Jun 2019.

Vancouver:

JIAN D. Towards Unified Object Analytics. [Internet] [Thesis]. National University of Singapore; 2014. [cited 2019 Jun 18]. Available from: http://scholarbank.nus.edu.sg/handle/10635/113320.

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

Council of Science Editors:

JIAN D. Towards Unified Object Analytics. [Thesis]. National University of Singapore; 2014. Available from: http://scholarbank.nus.edu.sg/handle/10635/113320

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


University of North Texas

29. Shi, Lei. A general purpose semantic parser using FrameNet and WordNet®.

Degree: 2004, University of North Texas

 Syntactic parsing is one of the best understood language processing applications. Since language and grammar have been formally defined, it is easy for computers to… (more)

Subjects/Keywords: Semantic networks (Information theory); WordNet.; FrameNet.; Natural language processing (Computer science); Parsing (Computer grammar); semantic; parser; FrameNet

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

APA (6th Edition):

Shi, L. (2004). A general purpose semantic parser using FrameNet and WordNet®. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc4483/

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):

Shi, Lei. “A general purpose semantic parser using FrameNet and WordNet®.” 2004. Thesis, University of North Texas. Accessed June 18, 2019. https://digital.library.unt.edu/ark:/67531/metadc4483/.

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

MLA Handbook (7th Edition):

Shi, Lei. “A general purpose semantic parser using FrameNet and WordNet®.” 2004. Web. 18 Jun 2019.

Vancouver:

Shi L. A general purpose semantic parser using FrameNet and WordNet®. [Internet] [Thesis]. University of North Texas; 2004. [cited 2019 Jun 18]. Available from: https://digital.library.unt.edu/ark:/67531/metadc4483/.

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

Council of Science Editors:

Shi L. A general purpose semantic parser using FrameNet and WordNet®. [Thesis]. University of North Texas; 2004. Available from: https://digital.library.unt.edu/ark:/67531/metadc4483/

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

30. Van Willigen, I.F.T. Reasoning about Emotions: an affective natural language processing environment, using lexical relations to measure activation and evaluation, and extracting semantics from natural language:.

Degree: 2009, Delft University of Technology

 In the field of textual affect sensing many methods have been proposed. These methods vary from keyword spotting techniques, lexical affinity, statistical natural language processing… (more)

Subjects/Keywords: artificial intelligence; natural language processing; affect sensing; lexical affinity; WordNet; ConceptNet; Dictionary of Affect in Language; syntactic parsing; semantic parsing

…67 9.3.3 Deep semantic parsing… …74 9.4.7 Sentence parsingSemantic Parser… …74 9.4.6 Sentence parsing – Syntactical tree plotter… …23 Figure 7: An excerpt from ConceptNet's semantic network… …74 Figure 38: Semantic Parser GUI - Word level label… 

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

APA (6th Edition):

Van Willigen, I. F. T. (2009). Reasoning about Emotions: an affective natural language processing environment, using lexical relations to measure activation and evaluation, and extracting semantics from natural language:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:31909404-ff75-4836-aaf4-c483e3bb1404

Chicago Manual of Style (16th Edition):

Van Willigen, I F T. “Reasoning about Emotions: an affective natural language processing environment, using lexical relations to measure activation and evaluation, and extracting semantics from natural language:.” 2009. Masters Thesis, Delft University of Technology. Accessed June 18, 2019. http://resolver.tudelft.nl/uuid:31909404-ff75-4836-aaf4-c483e3bb1404.

MLA Handbook (7th Edition):

Van Willigen, I F T. “Reasoning about Emotions: an affective natural language processing environment, using lexical relations to measure activation and evaluation, and extracting semantics from natural language:.” 2009. Web. 18 Jun 2019.

Vancouver:

Van Willigen IFT. Reasoning about Emotions: an affective natural language processing environment, using lexical relations to measure activation and evaluation, and extracting semantics from natural language:. [Internet] [Masters thesis]. Delft University of Technology; 2009. [cited 2019 Jun 18]. Available from: http://resolver.tudelft.nl/uuid:31909404-ff75-4836-aaf4-c483e3bb1404.

Council of Science Editors:

Van Willigen IFT. Reasoning about Emotions: an affective natural language processing environment, using lexical relations to measure activation and evaluation, and extracting semantics from natural language:. [Masters Thesis]. Delft University of Technology; 2009. Available from: http://resolver.tudelft.nl/uuid:31909404-ff75-4836-aaf4-c483e3bb1404

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