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You searched for subject:(abstractive summarization). Showing records 1 – 13 of 13 total matches.

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University of Lethbridge

1. University of Lethbridge. Faculty of Arts and Science. Query-Focused Abstractive Summarization using Neural Networks .

Degree: 2019, University of Lethbridge

 Query-focused abstractive document summarization (QFADS) is a process of shortening a document into a summary while keeping the context of query in mind. We implemented… (more)

Subjects/Keywords: Neural networks; Query-focused abstractive document summarization; Query-focused abstractive multi document summarization

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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. (2019). Query-Focused Abstractive Summarization using Neural Networks . (Thesis). University of Lethbridge. Retrieved from http://hdl.handle.net/10133/5400

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. “Query-Focused Abstractive Summarization using Neural Networks .” 2019. Thesis, University of Lethbridge. Accessed September 19, 2019. http://hdl.handle.net/10133/5400.

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. “Query-Focused Abstractive Summarization using Neural Networks .” 2019. Web. 19 Sep 2019.

Vancouver:

Science UoLFoAa. Query-Focused Abstractive Summarization using Neural Networks . [Internet] [Thesis]. University of Lethbridge; 2019. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10133/5400.

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. Query-Focused Abstractive Summarization using Neural Networks . [Thesis]. University of Lethbridge; 2019. Available from: http://hdl.handle.net/10133/5400

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


Penn State University

2. Banerjee, Siddhartha. AUTHORING CONTENT AUTOMATICALLY USING ABSTRACTIVE SUMMARIZATION.

Degree: 2017, Penn State University

 Automatic Text summarization has emerged as a very popular area of research due to the availability of enormous amount of data from multiple sources such… (more)

Subjects/Keywords: Abstractive summarization; Automatic authoring; Text summarization; Text-to-text generation

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APA (6th Edition):

Banerjee, S. (2017). AUTHORING CONTENT AUTOMATICALLY USING ABSTRACTIVE SUMMARIZATION. (Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/13614sub253

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):

Banerjee, Siddhartha. “AUTHORING CONTENT AUTOMATICALLY USING ABSTRACTIVE SUMMARIZATION.” 2017. Thesis, Penn State University. Accessed September 19, 2019. https://etda.libraries.psu.edu/catalog/13614sub253.

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

MLA Handbook (7th Edition):

Banerjee, Siddhartha. “AUTHORING CONTENT AUTOMATICALLY USING ABSTRACTIVE SUMMARIZATION.” 2017. Web. 19 Sep 2019.

Vancouver:

Banerjee S. AUTHORING CONTENT AUTOMATICALLY USING ABSTRACTIVE SUMMARIZATION. [Internet] [Thesis]. Penn State University; 2017. [cited 2019 Sep 19]. Available from: https://etda.libraries.psu.edu/catalog/13614sub253.

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

Council of Science Editors:

Banerjee S. AUTHORING CONTENT AUTOMATICALLY USING ABSTRACTIVE SUMMARIZATION. [Thesis]. Penn State University; 2017. Available from: https://etda.libraries.psu.edu/catalog/13614sub253

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


University of New South Wales

3. Shafieibavani, Elaheh. Toward abstractive text summarization.

Degree: Computer Science & Engineering, 2019, University of New South Wales

 Automatic text summarization is the process of automatically creating a compressed version of a given text. Content reduction can be addressed by extraction or abstraction.… (more)

Subjects/Keywords: Summarization evaluation; Natural language processing; Abstractive text summarization

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APA (6th Edition):

Shafieibavani, E. (2019). Toward abstractive text summarization. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/61462 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:55769/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Shafieibavani, Elaheh. “Toward abstractive text summarization.” 2019. Doctoral Dissertation, University of New South Wales. Accessed September 19, 2019. http://handle.unsw.edu.au/1959.4/61462 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:55769/SOURCE02?view=true.

MLA Handbook (7th Edition):

Shafieibavani, Elaheh. “Toward abstractive text summarization.” 2019. Web. 19 Sep 2019.

Vancouver:

Shafieibavani E. Toward abstractive text summarization. [Internet] [Doctoral dissertation]. University of New South Wales; 2019. [cited 2019 Sep 19]. Available from: http://handle.unsw.edu.au/1959.4/61462 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:55769/SOURCE02?view=true.

Council of Science Editors:

Shafieibavani E. Toward abstractive text summarization. [Doctoral Dissertation]. University of New South Wales; 2019. Available from: http://handle.unsw.edu.au/1959.4/61462 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:55769/SOURCE02?view=true

4. Koupaee, Mahnaz. Abstractive Text Summarization Using Hierarchical Reinforcement Learning.

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

 Sequence-to-sequence models have recently gained the state of the art performance in summarization. However, not too many large-scale high-quality datasets are available and almost all… (more)

Subjects/Keywords: Computer science; Abstractive summarization; Hierarchical reinforcement learning; Reinforcement learning; Text summarization

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

APA (6th Edition):

Koupaee, M. (2018). Abstractive Text Summarization Using Hierarchical Reinforcement Learning. (Thesis). University of California – eScholarship, University of California. Retrieved from http://www.escholarship.org/uc/item/87k3n1rc

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):

Koupaee, Mahnaz. “Abstractive Text Summarization Using Hierarchical Reinforcement Learning.” 2018. Thesis, University of California – eScholarship, University of California. Accessed September 19, 2019. http://www.escholarship.org/uc/item/87k3n1rc.

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

MLA Handbook (7th Edition):

Koupaee, Mahnaz. “Abstractive Text Summarization Using Hierarchical Reinforcement Learning.” 2018. Web. 19 Sep 2019.

Vancouver:

Koupaee M. Abstractive Text Summarization Using Hierarchical Reinforcement Learning. [Internet] [Thesis]. University of California – eScholarship, University of California; 2018. [cited 2019 Sep 19]. Available from: http://www.escholarship.org/uc/item/87k3n1rc.

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

Council of Science Editors:

Koupaee M. Abstractive Text Summarization Using Hierarchical Reinforcement Learning. [Thesis]. University of California – eScholarship, University of California; 2018. Available from: http://www.escholarship.org/uc/item/87k3n1rc

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


University of Cambridge

5. Fang, Yimai. Proposition-based summarization with a coherence-driven incremental model.

Degree: PhD, 2019, University of Cambridge

Summarization models which operate on meaning representations of documents have been neglected in the past, although they are a very promising and interesting class of… (more)

Subjects/Keywords: natural language processing; computational linguistics; summarization; summarisation; NLP; document understanding; text understanding; coherence; abstractive summarization; abstractive summarisation

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

APA (6th Edition):

Fang, Y. (2019). Proposition-based summarization with a coherence-driven incremental model. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/287468 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763848

Chicago Manual of Style (16th Edition):

Fang, Yimai. “Proposition-based summarization with a coherence-driven incremental model.” 2019. Doctoral Dissertation, University of Cambridge. Accessed September 19, 2019. https://www.repository.cam.ac.uk/handle/1810/287468 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763848.

MLA Handbook (7th Edition):

Fang, Yimai. “Proposition-based summarization with a coherence-driven incremental model.” 2019. Web. 19 Sep 2019.

Vancouver:

Fang Y. Proposition-based summarization with a coherence-driven incremental model. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2019 Sep 19]. Available from: https://www.repository.cam.ac.uk/handle/1810/287468 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763848.

Council of Science Editors:

Fang Y. Proposition-based summarization with a coherence-driven incremental model. [Doctoral Dissertation]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/287468 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.763848

6. Tran, Chien Xuan. Abstractive Text Summarization Using Deep Learning.

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; abstractive summarization

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

APA (6th Edition):

Tran, C. X. (n.d.). Abstractive Text Summarization Using Deep Learning. (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/10119/14711

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, Chien Xuan. “Abstractive Text Summarization Using Deep Learning.” Thesis, Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学. Accessed September 19, 2019. http://hdl.handle.net/10119/14711.

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, Chien Xuan. “Abstractive Text Summarization Using Deep Learning.” Web. 19 Sep 2019.

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

Vancouver:

Tran CX. Abstractive Text Summarization Using Deep Learning. [Internet] [Thesis]. Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学; [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10119/14711.

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 CX. Abstractive Text Summarization Using Deep Learning. [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/10119/14711

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

7. Beronius, Oscar. Summarization of news articles .

Degree: Chalmers tekniska högskola / Institutionen för fysik, 2019, Chalmers University of Technology

 In this work, two neural summarization models, Seq2seq and the Transformer, with several variations, were implemented and evaluated on the task of abstractively summarizing news… (more)

Subjects/Keywords: Summarization; Summary; NLP; Transformer; Attention; Articles; Long; Multiple; Seq2seq; Abstractive

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APA (6th Edition):

Beronius, O. (2019). Summarization of news articles . (Thesis). Chalmers University of Technology. Retrieved from http://hdl.handle.net/20.500.12380/300074

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):

Beronius, Oscar. “Summarization of news articles .” 2019. Thesis, Chalmers University of Technology. Accessed September 19, 2019. http://hdl.handle.net/20.500.12380/300074.

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

MLA Handbook (7th Edition):

Beronius, Oscar. “Summarization of news articles .” 2019. Web. 19 Sep 2019.

Vancouver:

Beronius O. Summarization of news articles . [Internet] [Thesis]. Chalmers University of Technology; 2019. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/20.500.12380/300074.

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

Council of Science Editors:

Beronius O. Summarization of news articles . [Thesis]. Chalmers University of Technology; 2019. Available from: http://hdl.handle.net/20.500.12380/300074

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


University of Lethbridge

8. University of Lethbridge. Faculty of Arts and Science. Multi-document summarization based on document clustering and neural sentence fusion .

Degree: 2018, University of Lethbridge

 In this thesis, we have approached a technique for tackling abstractive text summarization tasks with state-of-the-art results. We have proposed a novel method to improve… (more)

Subjects/Keywords: automatic text summarization; sentence fusion; mutli document summarization; text clustering; abstractive text summarization; tensor2tensor; Document clustering; Text processing (Computer science); Automatic abstracting; Electronic information resources  – Abstracting and indexing; Dissertations, Academic

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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. (2018). Multi-document summarization based on document clustering and neural sentence fusion . (Thesis). University of Lethbridge. Retrieved from http://hdl.handle.net/10133/5294

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. “Multi-document summarization based on document clustering and neural sentence fusion .” 2018. Thesis, University of Lethbridge. Accessed September 19, 2019. http://hdl.handle.net/10133/5294.

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. “Multi-document summarization based on document clustering and neural sentence fusion .” 2018. Web. 19 Sep 2019.

Vancouver:

Science UoLFoAa. Multi-document summarization based on document clustering and neural sentence fusion . [Internet] [Thesis]. University of Lethbridge; 2018. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10133/5294.

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. Multi-document summarization based on document clustering and neural sentence fusion . [Thesis]. University of Lethbridge; 2018. Available from: http://hdl.handle.net/10133/5294

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

9. Lyngbaek, Steffen slyngbae. SPORK: A SUMMARIZATION PIPELINE FOR ONLINE REPOSITORIES OF KNOWLEDGE.

Degree: MS, Computer Science, 2013, Cal Poly

  The web 2.0 era has ushered an unprecedented amount of interactivity on the Internet resulting in a flood of user-generated content. This content is… (more)

Subjects/Keywords: text summarization; spork; automatic; extractive; abstractive

summarization: extractive and abstractive. Extractive summarization approaches create a summary by… …sentences that can be used to represent the document. On the other hand, abstractive summarization… …abstractive approaches. Recently, abstractive summarization techniques have begun to see some… …abstractive methods of summarization are explored and compared, this chapter begins with analyzing… …abstractive and extractive approaches. Most current research has gone into extractive summarization… 

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APA (6th Edition):

Lyngbaek, S. s. (2013). SPORK: A SUMMARIZATION PIPELINE FOR ONLINE REPOSITORIES OF KNOWLEDGE. (Masters Thesis). Cal Poly. Retrieved from https://digitalcommons.calpoly.edu/theses/1036 ; 10.15368/theses.2013.75

Chicago Manual of Style (16th Edition):

Lyngbaek, Steffen slyngbae. “SPORK: A SUMMARIZATION PIPELINE FOR ONLINE REPOSITORIES OF KNOWLEDGE.” 2013. Masters Thesis, Cal Poly. Accessed September 19, 2019. https://digitalcommons.calpoly.edu/theses/1036 ; 10.15368/theses.2013.75.

MLA Handbook (7th Edition):

Lyngbaek, Steffen slyngbae. “SPORK: A SUMMARIZATION PIPELINE FOR ONLINE REPOSITORIES OF KNOWLEDGE.” 2013. Web. 19 Sep 2019.

Vancouver:

Lyngbaek Ss. SPORK: A SUMMARIZATION PIPELINE FOR ONLINE REPOSITORIES OF KNOWLEDGE. [Internet] [Masters thesis]. Cal Poly; 2013. [cited 2019 Sep 19]. Available from: https://digitalcommons.calpoly.edu/theses/1036 ; 10.15368/theses.2013.75.

Council of Science Editors:

Lyngbaek Ss. SPORK: A SUMMARIZATION PIPELINE FOR ONLINE REPOSITORIES OF KNOWLEDGE. [Masters Thesis]. Cal Poly; 2013. Available from: https://digitalcommons.calpoly.edu/theses/1036 ; 10.15368/theses.2013.75


Université de Montréal

10. Genest, Pierre-Étienne. Génération de résumés par abstraction .

Degree: 2014, Université de Montréal

 Cette thèse présente le résultat de plusieurs années de recherche dans le domaine de la génération automatique de résumés. Trois contributions majeures, présentées sous la… (more)

Subjects/Keywords: Résumés automatiques; Résumés par abstraction; Génération des langues naturelles; Traitement automatique des langues naturelles; Automatic summarization; Abstractive summarization; Natural language generation; Natural language processing

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APA (6th Edition):

Genest, P. (2014). Génération de résumés par abstraction . (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/10335

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):

Genest, Pierre-Étienne. “Génération de résumés par abstraction .” 2014. Thesis, Université de Montréal. Accessed September 19, 2019. http://hdl.handle.net/1866/10335.

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

MLA Handbook (7th Edition):

Genest, Pierre-Étienne. “Génération de résumés par abstraction .” 2014. Web. 19 Sep 2019.

Vancouver:

Genest P. Génération de résumés par abstraction . [Internet] [Thesis]. Université de Montréal; 2014. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/1866/10335.

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

Council of Science Editors:

Genest P. Génération de résumés par abstraction . [Thesis]. Université de Montréal; 2014. Available from: http://hdl.handle.net/1866/10335

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


KTH

11. Kryściński, Wojciech. Training Neural Models for Abstractive Text Summarization.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

Abstractive text summarization aims to condense long textual documents into a short, human-readable form while preserving the most important information from the source document.… (more)

Subjects/Keywords: machine learning; deep learning; text summarization; natural language processing; neural networks; recurrent neural networks; reinforcement learning; generative adversarial networks; gans; abstractive text summarization; nlp; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Kryściński, W. (2018). Training Neural Models for Abstractive Text Summarization. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-236973

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):

Kryściński, Wojciech. “Training Neural Models for Abstractive Text Summarization.” 2018. Thesis, KTH. Accessed September 19, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-236973.

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

MLA Handbook (7th Edition):

Kryściński, Wojciech. “Training Neural Models for Abstractive Text Summarization.” 2018. Web. 19 Sep 2019.

Vancouver:

Kryściński W. Training Neural Models for Abstractive Text Summarization. [Internet] [Thesis]. KTH; 2018. [cited 2019 Sep 19]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-236973.

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

Council of Science Editors:

Kryściński W. Training Neural Models for Abstractive Text Summarization. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-236973

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


University of Cambridge

12. Fang, Yimai. Proposition-based summarization with a coherence-driven incremental model .

Degree: University of Cambridge

Summarization models which operate on meaning representations of documents have been neglected in the past, although they are a very promising and interesting class of… (more)

Subjects/Keywords: natural language processing; computational linguistics; summarization; summarisation; NLP; document understanding; text understanding; coherence; abstractive summarization; abstractive summarisation

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Fang, Y. (n.d.). Proposition-based summarization with a coherence-driven incremental model . (Thesis). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/287468

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):

Fang, Yimai. “Proposition-based summarization with a coherence-driven incremental model .” Thesis, University of Cambridge. Accessed September 19, 2019. https://www.repository.cam.ac.uk/handle/1810/287468.

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):

Fang, Yimai. “Proposition-based summarization with a coherence-driven incremental model .” Web. 19 Sep 2019.

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

Vancouver:

Fang Y. Proposition-based summarization with a coherence-driven incremental model . [Internet] [Thesis]. University of Cambridge; [cited 2019 Sep 19]. Available from: https://www.repository.cam.ac.uk/handle/1810/287468.

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:

Fang Y. Proposition-based summarization with a coherence-driven incremental model . [Thesis]. University of Cambridge; Available from: https://www.repository.cam.ac.uk/handle/1810/287468

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

13. Jaykumar, Nishita. ResQu: A Framework for Automatic Evaluation of Knowledge-Driven Automatic Summarization.

Degree: MS, Computer Science, 2016, Wright State University

 Automatic generation of summaries that capture the salient aspects of a search resultset (i.e., automatic summarization) has become an important task in biomedical research. Automatic… (more)

Subjects/Keywords: Science Education; Bioinformatics; Biomedical Research; Biomedical Engineering; Computer Science; Computer Engineering; Automatic Summarization, Summarization Evaluation, Abstractive Summaries, Quality-based evaluation, Semantic Similarity, Medical Subject Headings, MetaMap, SemRep

…the literature: 1) extractive summarization and 2) abstractive summarization… …what you see is what you get’ [5]. On the contrary, abstractive summarization is… …summaries [32]. Given an automatic summarization method (extractive or abstractive… …1. We propose a method for intrinsic evaluation of abstractive summarization. 2. We… …extractive summarization and 2) abstractive summarization. We begin with a discussion on… 

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

APA (6th Edition):

Jaykumar, N. (2016). ResQu: A Framework for Automatic Evaluation of Knowledge-Driven Automatic Summarization. (Masters Thesis). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1464628801

Chicago Manual of Style (16th Edition):

Jaykumar, Nishita. “ResQu: A Framework for Automatic Evaluation of Knowledge-Driven Automatic Summarization.” 2016. Masters Thesis, Wright State University. Accessed September 19, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1464628801.

MLA Handbook (7th Edition):

Jaykumar, Nishita. “ResQu: A Framework for Automatic Evaluation of Knowledge-Driven Automatic Summarization.” 2016. Web. 19 Sep 2019.

Vancouver:

Jaykumar N. ResQu: A Framework for Automatic Evaluation of Knowledge-Driven Automatic Summarization. [Internet] [Masters thesis]. Wright State University; 2016. [cited 2019 Sep 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1464628801.

Council of Science Editors:

Jaykumar N. ResQu: A Framework for Automatic Evaluation of Knowledge-Driven Automatic Summarization. [Masters Thesis]. Wright State University; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1464628801

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