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You searched for subject:( question ranking). Showing records 1 – 6 of 6 total matches.

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University of Lethbridge

1. University of Lethbridge. Faculty of Arts and Science. Utilization of common human queries in ranking automatically generated questions .

Degree: 2015, University of Lethbridge

 We challenge a form of Paragraph-to-Question generation task. We propose a question generation system which can be used to generate questions from a body of… (more)

Subjects/Keywords: named entities; question pool; question ranking; specific question generation; tree kernel functions

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

APA (6th Edition):

Science, U. o. L. F. o. A. a. (2015). Utilization of common human queries in ranking automatically generated questions . (Thesis). University of Lethbridge. Retrieved from http://hdl.handle.net/10133/4464

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):

Science, University of Lethbridge. Faculty of Arts and. “Utilization of common human queries in ranking automatically generated questions .” 2015. Thesis, University of Lethbridge. Accessed October 18, 2019. http://hdl.handle.net/10133/4464.

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

MLA Handbook (7th Edition):

Science, University of Lethbridge. Faculty of Arts and. “Utilization of common human queries in ranking automatically generated questions .” 2015. Web. 18 Oct 2019.

Vancouver:

Science UoLFoAa. Utilization of common human queries in ranking automatically generated questions . [Internet] [Thesis]. University of Lethbridge; 2015. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10133/4464.

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

Council of Science Editors:

Science UoLFoAa. Utilization of common human queries in ranking automatically generated questions . [Thesis]. University of Lethbridge; 2015. Available from: http://hdl.handle.net/10133/4464

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


Université Paris-Sud – Paris XI

2. Bernard, Guillaume. Réordonnancement de candidats reponses pour un système de questions-réponses : Re-ranking of candidates answers of a question-answering system.

Degree: Docteur es, Informatique, 2011, Université Paris-Sud – Paris XI

L’objectif de cette thèse a été de proposer une approche robuste pour traiter le problème de la recherche dela réponse précise à une question.Notre première… (more)

Subjects/Keywords: Question-Réponse; Oral; Réordonnancement; Domaine ouvert; Question-Answering; Oral; Re-ranking; Open domain

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

APA (6th Edition):

Bernard, G. (2011). Réordonnancement de candidats reponses pour un système de questions-réponses : Re-ranking of candidates answers of a question-answering system. (Doctoral Dissertation). Université Paris-Sud – Paris XI. Retrieved from http://www.theses.fr/2011PA112071

Chicago Manual of Style (16th Edition):

Bernard, Guillaume. “Réordonnancement de candidats reponses pour un système de questions-réponses : Re-ranking of candidates answers of a question-answering system.” 2011. Doctoral Dissertation, Université Paris-Sud – Paris XI. Accessed October 18, 2019. http://www.theses.fr/2011PA112071.

MLA Handbook (7th Edition):

Bernard, Guillaume. “Réordonnancement de candidats reponses pour un système de questions-réponses : Re-ranking of candidates answers of a question-answering system.” 2011. Web. 18 Oct 2019.

Vancouver:

Bernard G. Réordonnancement de candidats reponses pour un système de questions-réponses : Re-ranking of candidates answers of a question-answering system. [Internet] [Doctoral dissertation]. Université Paris-Sud – Paris XI; 2011. [cited 2019 Oct 18]. Available from: http://www.theses.fr/2011PA112071.

Council of Science Editors:

Bernard G. Réordonnancement de candidats reponses pour un système de questions-réponses : Re-ranking of candidates answers of a question-answering system. [Doctoral Dissertation]. Université Paris-Sud – Paris XI; 2011. Available from: http://www.theses.fr/2011PA112071

3. Lin, Xiao. Leveraging Multimodal Perspectives to Learn Common Sense for Vision and Language Tasks.

Degree: PhD, Electrical and Computer Engineering, 2017, Virginia Tech

 Learning and reasoning with common sense is a challenging problem in Artificial Intelligence (AI). Humans have the remarkable ability to interpret images and text from… (more)

Subjects/Keywords: Common Sense; Multimodal; Visual Question Answering; Image-Caption Ranking; Vision and Language; Active Learning

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

APA (6th Edition):

Lin, X. (2017). Leveraging Multimodal Perspectives to Learn Common Sense for Vision and Language Tasks. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/79521

Chicago Manual of Style (16th Edition):

Lin, Xiao. “Leveraging Multimodal Perspectives to Learn Common Sense for Vision and Language Tasks.” 2017. Doctoral Dissertation, Virginia Tech. Accessed October 18, 2019. http://hdl.handle.net/10919/79521.

MLA Handbook (7th Edition):

Lin, Xiao. “Leveraging Multimodal Perspectives to Learn Common Sense for Vision and Language Tasks.” 2017. Web. 18 Oct 2019.

Vancouver:

Lin X. Leveraging Multimodal Perspectives to Learn Common Sense for Vision and Language Tasks. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10919/79521.

Council of Science Editors:

Lin X. Leveraging Multimodal Perspectives to Learn Common Sense for Vision and Language Tasks. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/79521

4. Tran, Duc Vu. A Study of Deep Learning for Legal Question Answering Systems.

Degree: Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学

Supervisor:NGUYEN, Minh Le

情報科学研究科

修士

Subjects/Keywords: Deep Learning; Question Answering; Legal Domain; Document Re-ranking

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

APA (6th Edition):

Tran, D. V. (n.d.). A Study of Deep Learning for Legal Question Answering Systems. (Thesis). Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学. Retrieved from http://hdl.handle.net/10119/13738

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):

Tran, Duc Vu. “A Study of Deep Learning for Legal Question Answering Systems.” Thesis, Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学. Accessed October 18, 2019. http://hdl.handle.net/10119/13738.

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):

Tran, Duc Vu. “A Study of Deep Learning for Legal Question Answering Systems.” Web. 18 Oct 2019.

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

Vancouver:

Tran DV. A Study of Deep Learning for Legal Question Answering Systems. [Internet] [Thesis]. Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学; [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10119/13738.

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:

Tran DV. A Study of Deep Learning for Legal Question Answering Systems. [Thesis]. Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学; Available from: http://hdl.handle.net/10119/13738

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


RMIT University

5. Yulianti, E. Answer-biased summarization.

Degree: 2018, RMIT University

 Displaying answers directly on the search results page has been shown to have a positive effect on a user's search experience. It leads to good… (more)

Subjects/Keywords: Fields of Research; document summarization; answers; search results; answer-biased summaries; community question answering (CQA); optimization; learning-to-rank; semantic; context; document ranking

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

APA (6th Edition):

Yulianti, E. (2018). Answer-biased summarization. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:162434

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):

Yulianti, E. “Answer-biased summarization.” 2018. Thesis, RMIT University. Accessed October 18, 2019. http://researchbank.rmit.edu.au/view/rmit:162434.

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

MLA Handbook (7th Edition):

Yulianti, E. “Answer-biased summarization.” 2018. Web. 18 Oct 2019.

Vancouver:

Yulianti E. Answer-biased summarization. [Internet] [Thesis]. RMIT University; 2018. [cited 2019 Oct 18]. Available from: http://researchbank.rmit.edu.au/view/rmit:162434.

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

Council of Science Editors:

Yulianti E. Answer-biased summarization. [Thesis]. RMIT University; 2018. Available from: http://researchbank.rmit.edu.au/view/rmit:162434

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


University of Waterloo

6. Lynam, Thomas. Exploitation of Redundant Inverse Term Frequency for Answer Extraction.

Degree: 2002, University of Waterloo

 An automatic question answering system must find, within a corpus,short factual answers to questions posed in natural language. The process involves analyzing the question, retrieving… (more)

Subjects/Keywords: Computer Science; Question Answering; Information Retrieval; Natural Language Processing; Retrieval Models and Ranking; Query Intent

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

APA (6th Edition):

Lynam, T. (2002). Exploitation of Redundant Inverse Term Frequency for Answer Extraction. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/1190

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):

Lynam, Thomas. “Exploitation of Redundant Inverse Term Frequency for Answer Extraction.” 2002. Thesis, University of Waterloo. Accessed October 18, 2019. http://hdl.handle.net/10012/1190.

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

MLA Handbook (7th Edition):

Lynam, Thomas. “Exploitation of Redundant Inverse Term Frequency for Answer Extraction.” 2002. Web. 18 Oct 2019.

Vancouver:

Lynam T. Exploitation of Redundant Inverse Term Frequency for Answer Extraction. [Internet] [Thesis]. University of Waterloo; 2002. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10012/1190.

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

Council of Science Editors:

Lynam T. Exploitation of Redundant Inverse Term Frequency for Answer Extraction. [Thesis]. University of Waterloo; 2002. Available from: http://hdl.handle.net/10012/1190

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

.