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You searched for subject:(Text summarization). Showing records 1 – 30 of 73 total matches.

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San Jose State University

1. Bocage, Charles Joseph. Experiments with and Implementation of a Context Sensitive Text Summarizer.

Degree: MS, Computer Science, 2016, San Jose State University

  Automatic text summarization is the ability to obtain key ideas from a text passage using as few words as possible. With the increase in… (more)

Subjects/Keywords: automatic; summarization; text

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

APA (6th Edition):

Bocage, C. J. (2016). Experiments with and Implementation of a Context Sensitive Text Summarizer. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.n6yw-h3k7 ; https://scholarworks.sjsu.edu/etd_theses/4715

Chicago Manual of Style (16th Edition):

Bocage, Charles Joseph. “Experiments with and Implementation of a Context Sensitive Text Summarizer.” 2016. Masters Thesis, San Jose State University. Accessed August 13, 2020. https://doi.org/10.31979/etd.n6yw-h3k7 ; https://scholarworks.sjsu.edu/etd_theses/4715.

MLA Handbook (7th Edition):

Bocage, Charles Joseph. “Experiments with and Implementation of a Context Sensitive Text Summarizer.” 2016. Web. 13 Aug 2020.

Vancouver:

Bocage CJ. Experiments with and Implementation of a Context Sensitive Text Summarizer. [Internet] [Masters thesis]. San Jose State University; 2016. [cited 2020 Aug 13]. Available from: https://doi.org/10.31979/etd.n6yw-h3k7 ; https://scholarworks.sjsu.edu/etd_theses/4715.

Council of Science Editors:

Bocage CJ. Experiments with and Implementation of a Context Sensitive Text Summarizer. [Masters Thesis]. San Jose State University; 2016. Available from: https://doi.org/10.31979/etd.n6yw-h3k7 ; https://scholarworks.sjsu.edu/etd_theses/4715


Cal Poly

2. Wu, Jiewen. WHISK: Web Hosted Information into Summarized Knowledge.

Degree: MS, Computer Science, 2016, Cal Poly

  Today’s online content increases at an alarmingly rate which exceeds users’ ability to consume such content. Modern search techniques allow users to enter keyword… (more)

Subjects/Keywords: text summarization; summarization; Other Computer Sciences

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APA (6th Edition):

Wu, J. (2016). WHISK: Web Hosted Information into Summarized Knowledge. (Masters Thesis). Cal Poly. Retrieved from https://digitalcommons.calpoly.edu/theses/1633 ; 10.15368/theses.2016.118

Chicago Manual of Style (16th Edition):

Wu, Jiewen. “WHISK: Web Hosted Information into Summarized Knowledge.” 2016. Masters Thesis, Cal Poly. Accessed August 13, 2020. https://digitalcommons.calpoly.edu/theses/1633 ; 10.15368/theses.2016.118.

MLA Handbook (7th Edition):

Wu, Jiewen. “WHISK: Web Hosted Information into Summarized Knowledge.” 2016. Web. 13 Aug 2020.

Vancouver:

Wu J. WHISK: Web Hosted Information into Summarized Knowledge. [Internet] [Masters thesis]. Cal Poly; 2016. [cited 2020 Aug 13]. Available from: https://digitalcommons.calpoly.edu/theses/1633 ; 10.15368/theses.2016.118.

Council of Science Editors:

Wu J. WHISK: Web Hosted Information into Summarized Knowledge. [Masters Thesis]. Cal Poly; 2016. Available from: https://digitalcommons.calpoly.edu/theses/1633 ; 10.15368/theses.2016.118


Penn State University

3. 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://submit-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 August 13, 2020. https://submit-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. 13 Aug 2020.

Vancouver:

Banerjee S. AUTHORING CONTENT AUTOMATICALLY USING ABSTRACTIVE SUMMARIZATION. [Internet] [Thesis]. Penn State University; 2017. [cited 2020 Aug 13]. Available from: https://submit-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://submit-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

4. Takeuchi, Kazuhiro. A study on operations used in text summarization : テキスト要約における言語操作に関する研究; テキスト ヨウヤク ニ オケル ゲンゴ ソウサ ニ カンスル ケンキュウ.

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

Subjects/Keywords: Text Summarization

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APA (6th Edition):

Takeuchi, K. (n.d.). A study on operations used in text summarization : テキスト要約における言語操作に関する研究; テキスト ヨウヤク ニ オケル ゲンゴ ソウサ ニ カンスル ケンキュウ. (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/10061/2937

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):

Takeuchi, Kazuhiro. “A study on operations used in text summarization : テキスト要約における言語操作に関する研究; テキスト ヨウヤク ニ オケル ゲンゴ ソウサ ニ カンスル ケンキュウ.” Thesis, Nara Institute of Science and Technology / 奈良先端科学技術大学院大学. Accessed August 13, 2020. http://hdl.handle.net/10061/2937.

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):

Takeuchi, Kazuhiro. “A study on operations used in text summarization : テキスト要約における言語操作に関する研究; テキスト ヨウヤク ニ オケル ゲンゴ ソウサ ニ カンスル ケンキュウ.” Web. 13 Aug 2020.

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

Vancouver:

Takeuchi K. A study on operations used in text summarization : テキスト要約における言語操作に関する研究; テキスト ヨウヤク ニ オケル ゲンゴ ソウサ ニ カンスル ケンキュウ. [Internet] [Thesis]. Nara Institute of Science and Technology / 奈良先端科学技術大学院大学; [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10061/2937.

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:

Takeuchi K. A study on operations used in text summarization : テキスト要約における言語操作に関する研究; テキスト ヨウヤク ニ オケル ゲンゴ ソウサ ニ カンスル ケンキュウ. [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/10061/2937

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

5. Liu, Yang. Neural document modeling and summarization.

Degree: PhD, 2020, University of Edinburgh

 Document summarization is the task of automatically generating a shorter version of a document or multiple documents while retaining the most important information. The task… (more)

Subjects/Keywords: text summarization; neural document modeling

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APA (6th Edition):

Liu, Y. (2020). Neural document modeling and summarization. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/37048

Chicago Manual of Style (16th Edition):

Liu, Yang. “Neural document modeling and summarization.” 2020. Doctoral Dissertation, University of Edinburgh. Accessed August 13, 2020. http://hdl.handle.net/1842/37048.

MLA Handbook (7th Edition):

Liu, Yang. “Neural document modeling and summarization.” 2020. Web. 13 Aug 2020.

Vancouver:

Liu Y. Neural document modeling and summarization. [Internet] [Doctoral dissertation]. University of Edinburgh; 2020. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/1842/37048.

Council of Science Editors:

Liu Y. Neural document modeling and summarization. [Doctoral Dissertation]. University of Edinburgh; 2020. Available from: http://hdl.handle.net/1842/37048


Northeastern University

6. Ekstrand-Abueg, Matthew Paul. A comprehensive method for automating test collection creation and evaluation for retrieval and summarization systems.

Degree: PhD, Computer Science Program, 2016, Northeastern University

 Test collections are a vital part of Information Retrieval research used to train learning algorithms, evaluate system performance, and create standards for comparisons across systems.… (more)

Subjects/Keywords: information extraction; paraphrase detection; summarization; summarization evaluation; temporal summarization; text similarity

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APA (6th Edition):

Ekstrand-Abueg, M. P. (2016). A comprehensive method for automating test collection creation and evaluation for retrieval and summarization systems. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20237565

Chicago Manual of Style (16th Edition):

Ekstrand-Abueg, Matthew Paul. “A comprehensive method for automating test collection creation and evaluation for retrieval and summarization systems.” 2016. Doctoral Dissertation, Northeastern University. Accessed August 13, 2020. http://hdl.handle.net/2047/D20237565.

MLA Handbook (7th Edition):

Ekstrand-Abueg, Matthew Paul. “A comprehensive method for automating test collection creation and evaluation for retrieval and summarization systems.” 2016. Web. 13 Aug 2020.

Vancouver:

Ekstrand-Abueg MP. A comprehensive method for automating test collection creation and evaluation for retrieval and summarization systems. [Internet] [Doctoral dissertation]. Northeastern University; 2016. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2047/D20237565.

Council of Science Editors:

Ekstrand-Abueg MP. A comprehensive method for automating test collection creation and evaluation for retrieval and summarization systems. [Doctoral Dissertation]. Northeastern University; 2016. Available from: http://hdl.handle.net/2047/D20237565


University of North Texas

7. Ceylan, Hakan. Investigating the Extractive Summarization of Literary Novels.

Degree: 2011, University of North Texas

 Abstract Due to the vast amount of information we are faced with, summarization has become a critical necessity of everyday human life. Given that a… (more)

Subjects/Keywords: Text summarization; extractive summarization; summarization of literary novels

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APA (6th Edition):

Ceylan, H. (2011). Investigating the Extractive Summarization of Literary Novels. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc103298/

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):

Ceylan, Hakan. “Investigating the Extractive Summarization of Literary Novels.” 2011. Thesis, University of North Texas. Accessed August 13, 2020. https://digital.library.unt.edu/ark:/67531/metadc103298/.

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

MLA Handbook (7th Edition):

Ceylan, Hakan. “Investigating the Extractive Summarization of Literary Novels.” 2011. Web. 13 Aug 2020.

Vancouver:

Ceylan H. Investigating the Extractive Summarization of Literary Novels. [Internet] [Thesis]. University of North Texas; 2011. [cited 2020 Aug 13]. Available from: https://digital.library.unt.edu/ark:/67531/metadc103298/.

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

Council of Science Editors:

Ceylan H. Investigating the Extractive Summarization of Literary Novels. [Thesis]. University of North Texas; 2011. Available from: https://digital.library.unt.edu/ark:/67531/metadc103298/

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


University of New South Wales

8. 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 August 13, 2020. 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. 13 Aug 2020.

Vancouver:

Shafieibavani E. Toward abstractive text summarization. [Internet] [Doctoral dissertation]. University of New South Wales; 2019. [cited 2020 Aug 13]. 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

9. 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 (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 August 13, 2020. 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. 13 Aug 2020.

Vancouver:

Koupaee M. Abstractive Text Summarization Using Hierarchical Reinforcement Learning. [Internet] [Thesis]. University of California – eScholarship, University of California; 2018. [cited 2020 Aug 13]. 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 Illinois – Urbana-Champaign

10. Wang, Qi. TextDive: construction, summarization and exploration of multi-dimensional text corpora.

Degree: MS, Computer Science, 2016, University of Illinois – Urbana-Champaign

 With massive datasets accumulating in text repositories (e.g., news articles, customer reviews, etc.), it is highly desirable to systematically utilize and explore them by data… (more)

Subjects/Keywords: multi-dimensional text corpora analysis; text cube analysis; text summarization

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APA (6th Edition):

Wang, Q. (2016). TextDive: construction, summarization and exploration of multi-dimensional text corpora. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/90938

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):

Wang, Qi. “TextDive: construction, summarization and exploration of multi-dimensional text corpora.” 2016. Thesis, University of Illinois – Urbana-Champaign. Accessed August 13, 2020. http://hdl.handle.net/2142/90938.

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

MLA Handbook (7th Edition):

Wang, Qi. “TextDive: construction, summarization and exploration of multi-dimensional text corpora.” 2016. Web. 13 Aug 2020.

Vancouver:

Wang Q. TextDive: construction, summarization and exploration of multi-dimensional text corpora. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2016. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/2142/90938.

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

Council of Science Editors:

Wang Q. TextDive: construction, summarization and exploration of multi-dimensional text corpora. [Thesis]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/90938

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


University of Lethbridge

11. University of Lethbridge. Faculty of Arts and Science. Methods of sentence extraction, abstraction and ordering for automatic text summarization .

Degree: 2017, University of Lethbridge

 In this thesis, we have developed several techniques for tackling both the extractive and abstractive text summarization tasks. We implement a rank based extractive sentence… (more)

Subjects/Keywords: automatic text summarization; multi-document text summarization; neural paraphrastic compression; sentence abstraction; sequence-to-sequence

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APA (6th Edition):

Science, U. o. L. F. o. A. a. (2017). Methods of sentence extraction, abstraction and ordering for automatic text summarization . (Thesis). University of Lethbridge. Retrieved from http://hdl.handle.net/10133/4993

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. “Methods of sentence extraction, abstraction and ordering for automatic text summarization .” 2017. Thesis, University of Lethbridge. Accessed August 13, 2020. http://hdl.handle.net/10133/4993.

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. “Methods of sentence extraction, abstraction and ordering for automatic text summarization .” 2017. Web. 13 Aug 2020.

Vancouver:

Science UoLFoAa. Methods of sentence extraction, abstraction and ordering for automatic text summarization . [Internet] [Thesis]. University of Lethbridge; 2017. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10133/4993.

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. Methods of sentence extraction, abstraction and ordering for automatic text summarization . [Thesis]. University of Lethbridge; 2017. Available from: http://hdl.handle.net/10133/4993

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


East Carolina University

12. Patel, Vishwa. Performance Analysis of Extractive Text Summarization.

Degree: MS, MS-Computer Science, 2019, East Carolina University

 In this era, data is increasing exponentially, and it is crucial for people to keep up with all of this information. The information is available… (more)

Subjects/Keywords: Automatic Text Summarization; Extractive Text Summarization; Text processing (Computer science); Natural language processing (Computer science); Automatic abstracting

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APA (6th Edition):

Patel, V. (2019). Performance Analysis of Extractive Text Summarization. (Masters Thesis). East Carolina University. Retrieved from http://hdl.handle.net/10342/7488

Chicago Manual of Style (16th Edition):

Patel, Vishwa. “Performance Analysis of Extractive Text Summarization.” 2019. Masters Thesis, East Carolina University. Accessed August 13, 2020. http://hdl.handle.net/10342/7488.

MLA Handbook (7th Edition):

Patel, Vishwa. “Performance Analysis of Extractive Text Summarization.” 2019. Web. 13 Aug 2020.

Vancouver:

Patel V. Performance Analysis of Extractive Text Summarization. [Internet] [Masters thesis]. East Carolina University; 2019. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10342/7488.

Council of Science Editors:

Patel V. Performance Analysis of Extractive Text Summarization. [Masters Thesis]. East Carolina University; 2019. Available from: http://hdl.handle.net/10342/7488


University of Guelph

13. Maduabunachukwu, Kasiemobi Esther. Domain Category Information as a Guide for Sentence Ranking to Support Medical Text Summarization.

Degree: MS, School of Computer Science, 2019, University of Guelph

 Medical professionals are required to pursue evidence-based practice by including the best available evidence from published research in their decision-making process. However, the exponential growth… (more)

Subjects/Keywords: evidence-based medicine; medical text summarization; summary evaluation; medical text processing; domain-based category-guided text summarization

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APA (6th Edition):

Maduabunachukwu, K. E. (2019). Domain Category Information as a Guide for Sentence Ranking to Support Medical Text Summarization. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/16254

Chicago Manual of Style (16th Edition):

Maduabunachukwu, Kasiemobi Esther. “Domain Category Information as a Guide for Sentence Ranking to Support Medical Text Summarization.” 2019. Masters Thesis, University of Guelph. Accessed August 13, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/16254.

MLA Handbook (7th Edition):

Maduabunachukwu, Kasiemobi Esther. “Domain Category Information as a Guide for Sentence Ranking to Support Medical Text Summarization.” 2019. Web. 13 Aug 2020.

Vancouver:

Maduabunachukwu KE. Domain Category Information as a Guide for Sentence Ranking to Support Medical Text Summarization. [Internet] [Masters thesis]. University of Guelph; 2019. [cited 2020 Aug 13]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/16254.

Council of Science Editors:

Maduabunachukwu KE. Domain Category Information as a Guide for Sentence Ranking to Support Medical Text Summarization. [Masters Thesis]. University of Guelph; 2019. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/16254


University of Lethbridge

14. 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 (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 August 13, 2020. 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. 13 Aug 2020.

Vancouver:

Science UoLFoAa. Multi-document summarization based on document clustering and neural sentence fusion . [Internet] [Thesis]. University of Lethbridge; 2018. [cited 2020 Aug 13]. 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


Uppsala University

15. Meechan-Maddon, Ailsa. The effect of noise in the training of convolutional neural networks for text summarisation.

Degree: Linguistics and Philology, 2019, Uppsala University

  In this thesis, we work towards bridging the gap between two distinct areas: noisy text handling and text summarisation. The overall goal of the… (more)

Subjects/Keywords: text summarisation; text summarization; summarization; nlp; computational linguistics; cnn; neural networks; machine learning; Language Technology (Computational Linguistics); Språkteknologi (språkvetenskaplig databehandling)

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APA (6th Edition):

Meechan-Maddon, A. (2019). The effect of noise in the training of convolutional neural networks for text summarisation. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-384607

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):

Meechan-Maddon, Ailsa. “The effect of noise in the training of convolutional neural networks for text summarisation.” 2019. Thesis, Uppsala University. Accessed August 13, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-384607.

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

MLA Handbook (7th Edition):

Meechan-Maddon, Ailsa. “The effect of noise in the training of convolutional neural networks for text summarisation.” 2019. Web. 13 Aug 2020.

Vancouver:

Meechan-Maddon A. The effect of noise in the training of convolutional neural networks for text summarisation. [Internet] [Thesis]. Uppsala University; 2019. [cited 2020 Aug 13]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-384607.

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

Council of Science Editors:

Meechan-Maddon A. The effect of noise in the training of convolutional neural networks for text summarisation. [Thesis]. Uppsala University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-384607

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

16. Sanampudi, Suresh Kumar. Resolution of time in natural language and its application to text summarization; -.

Degree: Computer Science, 2010, Jawaharlal Nehru Technological University

Automatic recognition of temporal expressions in natural language text is an active area of research in Artificial Intelligence (AI) and Computational Linguistics. Temporal information is… (more)

Subjects/Keywords: Natural Language Text; Multi-Document Summarization; Computer Science

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APA (6th Edition):

Sanampudi, S. K. (2010). Resolution of time in natural language and its application to text summarization; -. (Thesis). Jawaharlal Nehru Technological University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/4504

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):

Sanampudi, Suresh Kumar. “Resolution of time in natural language and its application to text summarization; -.” 2010. Thesis, Jawaharlal Nehru Technological University. Accessed August 13, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/4504.

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

MLA Handbook (7th Edition):

Sanampudi, Suresh Kumar. “Resolution of time in natural language and its application to text summarization; -.” 2010. Web. 13 Aug 2020.

Vancouver:

Sanampudi SK. Resolution of time in natural language and its application to text summarization; -. [Internet] [Thesis]. Jawaharlal Nehru Technological University; 2010. [cited 2020 Aug 13]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/4504.

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

Council of Science Editors:

Sanampudi SK. Resolution of time in natural language and its application to text summarization; -. [Thesis]. Jawaharlal Nehru Technological University; 2010. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/4504

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


Anna University

17. Esther hannah M. Role of classification in automated extractive text summarization with linear regression and summary refinement;.

Degree: Role of classification in automated extractive text summarization with linear regression and summary refinement, 2015, Anna University

Text mining is a relatively new field emerging in many disciplines It is becoming more popular as technology advances and the need for efficient text(more)

Subjects/Keywords: Natural Language Processing Community; Single document extractive text summarization

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APA (6th Edition):

M, E. h. (2015). Role of classification in automated extractive text summarization with linear regression and summary refinement;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/39426

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):

M, Esther hannah. “Role of classification in automated extractive text summarization with linear regression and summary refinement;.” 2015. Thesis, Anna University. Accessed August 13, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/39426.

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

MLA Handbook (7th Edition):

M, Esther hannah. “Role of classification in automated extractive text summarization with linear regression and summary refinement;.” 2015. Web. 13 Aug 2020.

Vancouver:

M Eh. Role of classification in automated extractive text summarization with linear regression and summary refinement;. [Internet] [Thesis]. Anna University; 2015. [cited 2020 Aug 13]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/39426.

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

Council of Science Editors:

M Eh. Role of classification in automated extractive text summarization with linear regression and summary refinement;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/39426

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


Penn State University

18. Chonde, Seifu John. A Methodology of Machine Learning in Automated Entity Summarization.

Degree: 2016, Penn State University

 Conducting background research is a time consuming, yet important, part of every research endeavor. It includes compiling relevant sources, reading those sources, and comprehending the… (more)

Subjects/Keywords: text mining; network science; diversity; science of science; entity summarization

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APA (6th Edition):

Chonde, S. J. (2016). A Methodology of Machine Learning in Automated Entity Summarization. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/28739

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):

Chonde, Seifu John. “A Methodology of Machine Learning in Automated Entity Summarization.” 2016. Thesis, Penn State University. Accessed August 13, 2020. https://submit-etda.libraries.psu.edu/catalog/28739.

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

MLA Handbook (7th Edition):

Chonde, Seifu John. “A Methodology of Machine Learning in Automated Entity Summarization.” 2016. Web. 13 Aug 2020.

Vancouver:

Chonde SJ. A Methodology of Machine Learning in Automated Entity Summarization. [Internet] [Thesis]. Penn State University; 2016. [cited 2020 Aug 13]. Available from: https://submit-etda.libraries.psu.edu/catalog/28739.

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

Council of Science Editors:

Chonde SJ. A Methodology of Machine Learning in Automated Entity Summarization. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/28739

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

19. SIITOVA, ADÉLE. Text summarization using transfer learnin: Extractive and abstractive summarization using BERT and GPT-2 on news and podcast data .

Degree: Chalmers tekniska högskola / Institutionen för data och informationsvetenskap, 2019, Chalmers University of Technology

 A summary of a long text document enables people to easily grasp the information of the topic without having the need to read the whole… (more)

Subjects/Keywords: transformer; BERT; GPT-2; text summarization; natural language processing

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APA (6th Edition):

SIITOVA, A. (2019). Text summarization using transfer learnin: Extractive and abstractive summarization using BERT and GPT-2 on news and podcast data . (Thesis). Chalmers University of Technology. Retrieved from http://hdl.handle.net/20.500.12380/300416

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):

SIITOVA, ADÉLE. “Text summarization using transfer learnin: Extractive and abstractive summarization using BERT and GPT-2 on news and podcast data .” 2019. Thesis, Chalmers University of Technology. Accessed August 13, 2020. http://hdl.handle.net/20.500.12380/300416.

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

MLA Handbook (7th Edition):

SIITOVA, ADÉLE. “Text summarization using transfer learnin: Extractive and abstractive summarization using BERT and GPT-2 on news and podcast data .” 2019. Web. 13 Aug 2020.

Vancouver:

SIITOVA A. Text summarization using transfer learnin: Extractive and abstractive summarization using BERT and GPT-2 on news and podcast data . [Internet] [Thesis]. Chalmers University of Technology; 2019. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/20.500.12380/300416.

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

Council of Science Editors:

SIITOVA A. Text summarization using transfer learnin: Extractive and abstractive summarization using BERT and GPT-2 on news and podcast data . [Thesis]. Chalmers University of Technology; 2019. Available from: http://hdl.handle.net/20.500.12380/300416

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

20. 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

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7 Sample image

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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 August 13, 2020. 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. 13 Aug 2020.

Vancouver:

Fang Y. Proposition-based summarization with a coherence-driven incremental model. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2020 Aug 13]. 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


Indian Institute of Science

21. Rama, B. Graph Models For Query Focused Text Summarization And Assessment Of Machine Translation Using Stopwords.

Degree: MSc Engg, Faculty of Engineering, 2014, Indian Institute of Science

Text summarization is the task of generating a shortened version of the original text where core ideas of the original text are retained. In this… (more)

Subjects/Keywords: Natural Language Processing; Abstracting; Query Optimization; Machine Translation; Text Summarization; Query Focused Summarization; Machine Translators; Computer Science

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APA (6th Edition):

Rama, B. (2014). Graph Models For Query Focused Text Summarization And Assessment Of Machine Translation Using Stopwords. (Masters Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/2294

Chicago Manual of Style (16th Edition):

Rama, B. “Graph Models For Query Focused Text Summarization And Assessment Of Machine Translation Using Stopwords.” 2014. Masters Thesis, Indian Institute of Science. Accessed August 13, 2020. http://etd.iisc.ac.in/handle/2005/2294.

MLA Handbook (7th Edition):

Rama, B. “Graph Models For Query Focused Text Summarization And Assessment Of Machine Translation Using Stopwords.” 2014. Web. 13 Aug 2020.

Vancouver:

Rama B. Graph Models For Query Focused Text Summarization And Assessment Of Machine Translation Using Stopwords. [Internet] [Masters thesis]. Indian Institute of Science; 2014. [cited 2020 Aug 13]. Available from: http://etd.iisc.ac.in/handle/2005/2294.

Council of Science Editors:

Rama B. Graph Models For Query Focused Text Summarization And Assessment Of Machine Translation Using Stopwords. [Masters Thesis]. Indian Institute of Science; 2014. Available from: http://etd.iisc.ac.in/handle/2005/2294

22. Minh, Le Nguyen. テキスト自動要約翻訳の統計的機械学習アプローチに関する研究.

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

Supervisor:堀口 進

情報科学研究科

博士

Subjects/Keywords: Cross-language text summarization, text summarization, natural language processing; Cross-language text summarization, text summariza

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APA (6th Edition):

Minh, L. N. (n.d.). テキスト自動要約翻訳の統計的機械学習アプローチに関する研究. (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/10119/962

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):

Minh, Le Nguyen. “テキスト自動要約翻訳の統計的機械学習アプローチに関する研究.” Thesis, Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学. Accessed August 13, 2020. http://hdl.handle.net/10119/962.

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):

Minh, Le Nguyen. “テキスト自動要約翻訳の統計的機械学習アプローチに関する研究.” Web. 13 Aug 2020.

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

Vancouver:

Minh LN. テキスト自動要約翻訳の統計的機械学習アプローチに関する研究. [Internet] [Thesis]. Japan Advanced Institute of Science and Technology / 北陸先端科学技術大学院大学; [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10119/962.

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:

Minh LN. テキスト自動要約翻訳の統計的機械学習アプローチに関する研究. [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/10119/962

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


KTH

23. 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 (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 August 13, 2020. 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. 13 Aug 2020.

Vancouver:

Kryściński W. Training Neural Models for Abstractive Text Summarization. [Internet] [Thesis]. KTH; 2018. [cited 2020 Aug 13]. 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


NSYSU

24. Wu, Pao-Feng. Use of Text Summarization for Supporting Event Detection.

Degree: Master, Information Management, 2003, NSYSU

 Environmental scanning, which acquires and use the information about event, trends, and changes in an organizationâs external environment, is an important process in the strategic… (more)

Subjects/Keywords: text summarization; event detection; environmental scanning

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APA (6th Edition):

Wu, P. (2003). Use of Text Summarization for Supporting Event Detection. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812103-212948

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):

Wu, Pao-Feng. “Use of Text Summarization for Supporting Event Detection.” 2003. Thesis, NSYSU. Accessed August 13, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812103-212948.

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

MLA Handbook (7th Edition):

Wu, Pao-Feng. “Use of Text Summarization for Supporting Event Detection.” 2003. Web. 13 Aug 2020.

Vancouver:

Wu P. Use of Text Summarization for Supporting Event Detection. [Internet] [Thesis]. NSYSU; 2003. [cited 2020 Aug 13]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812103-212948.

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

Council of Science Editors:

Wu P. Use of Text Summarization for Supporting Event Detection. [Thesis]. NSYSU; 2003. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812103-212948

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


Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

25. Kounoupis, Kyriakos. Η περίληψη στο πλαίσιο του σχολικού γραμματισμού: προβλήματα - προκλήσεις.

Degree: 2018, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

 The aim of this research is to delineate elementary students’ summarization skills as arising out of the teaching practices used in two classrooms (fourth and… (more)

Subjects/Keywords: Κειμενοκεντρική προσέγγιση; Στρατηγικές περίληψης; Πρακτικές σύνθεσης λόγου; Discourse synthesis; Text - based approach; Summarization practices

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APA (6th Edition):

Kounoupis, K. (2018). Η περίληψη στο πλαίσιο του σχολικού γραμματισμού: προβλήματα - προκλήσεις. (Thesis). Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Retrieved from http://hdl.handle.net/10442/hedi/44921

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):

Kounoupis, Kyriakos. “Η περίληψη στο πλαίσιο του σχολικού γραμματισμού: προβλήματα - προκλήσεις.” 2018. Thesis, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Accessed August 13, 2020. http://hdl.handle.net/10442/hedi/44921.

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

MLA Handbook (7th Edition):

Kounoupis, Kyriakos. “Η περίληψη στο πλαίσιο του σχολικού γραμματισμού: προβλήματα - προκλήσεις.” 2018. Web. 13 Aug 2020.

Vancouver:

Kounoupis K. Η περίληψη στο πλαίσιο του σχολικού γραμματισμού: προβλήματα - προκλήσεις. [Internet] [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2018. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10442/hedi/44921.

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

Council of Science Editors:

Kounoupis K. Η περίληψη στο πλαίσιο του σχολικού γραμματισμού: προβλήματα - προκλήσεις. [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2018. Available from: http://hdl.handle.net/10442/hedi/44921

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

26. Angelidis, Stefanos. Weakly supervised sentiment analysis and opinion extraction.

Degree: PhD, 2019, University of Edinburgh

 In recent years, online reviews have become the foremost medium for users to express their satisfaction, or lack thereof, about products and services. The proliferation… (more)

Subjects/Keywords: natural language processing; sentiment analysis; summarization; opinion extraction; text analysis; neural networks; machine learning

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APA (6th Edition):

Angelidis, S. (2019). Weakly supervised sentiment analysis and opinion extraction. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/36006

Chicago Manual of Style (16th Edition):

Angelidis, Stefanos. “Weakly supervised sentiment analysis and opinion extraction.” 2019. Doctoral Dissertation, University of Edinburgh. Accessed August 13, 2020. http://hdl.handle.net/1842/36006.

MLA Handbook (7th Edition):

Angelidis, Stefanos. “Weakly supervised sentiment analysis and opinion extraction.” 2019. Web. 13 Aug 2020.

Vancouver:

Angelidis S. Weakly supervised sentiment analysis and opinion extraction. [Internet] [Doctoral dissertation]. University of Edinburgh; 2019. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/1842/36006.

Council of Science Editors:

Angelidis S. Weakly supervised sentiment analysis and opinion extraction. [Doctoral Dissertation]. University of Edinburgh; 2019. Available from: http://hdl.handle.net/1842/36006


San Jose State University

27. Varma, Rashmi. A Hybrid Approach for Multi-document Text Summarization.

Degree: MS, Computer Science, 2019, San Jose State University

Text summarization has been a long studied topic in the field of natural language processing. There have been various approaches for both extractive text(more)

Subjects/Keywords: Multi-document Text Summarization; LSA; Text-Rank; Lex-Rank; RBM; Artificial Intelligence and Robotics; Databases and Information Systems

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

APA (6th Edition):

Varma, R. (2019). A Hybrid Approach for Multi-document Text Summarization. (Masters Thesis). San Jose State University. Retrieved from https://scholarworks.sjsu.edu/etd_projects/893

Chicago Manual of Style (16th Edition):

Varma, Rashmi. “A Hybrid Approach for Multi-document Text Summarization.” 2019. Masters Thesis, San Jose State University. Accessed August 13, 2020. https://scholarworks.sjsu.edu/etd_projects/893.

MLA Handbook (7th Edition):

Varma, Rashmi. “A Hybrid Approach for Multi-document Text Summarization.” 2019. Web. 13 Aug 2020.

Vancouver:

Varma R. A Hybrid Approach for Multi-document Text Summarization. [Internet] [Masters thesis]. San Jose State University; 2019. [cited 2020 Aug 13]. Available from: https://scholarworks.sjsu.edu/etd_projects/893.

Council of Science Editors:

Varma R. A Hybrid Approach for Multi-document Text Summarization. [Masters Thesis]. San Jose State University; 2019. Available from: https://scholarworks.sjsu.edu/etd_projects/893


University of Florida

28. Li, Kun. In-Database Large-Scale Statistical Data Analysis.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2015, University of Florida

 Enterprise applications need sophisticated in-database analytics in addition to traditional online analytical processing from a database. To meet customers' pressing demands, database vendors have been… (more)

Subjects/Keywords: Analytics; Atoms; Database management systems; Databases; Datasets; Engines; Inference; Machine learning; Summarization; Text analytics; analysis  – data  – in-database  – text

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

APA (6th Edition):

Li, K. (2015). In-Database Large-Scale Statistical Data Analysis. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0047785

Chicago Manual of Style (16th Edition):

Li, Kun. “In-Database Large-Scale Statistical Data Analysis.” 2015. Doctoral Dissertation, University of Florida. Accessed August 13, 2020. https://ufdc.ufl.edu/UFE0047785.

MLA Handbook (7th Edition):

Li, Kun. “In-Database Large-Scale Statistical Data Analysis.” 2015. Web. 13 Aug 2020.

Vancouver:

Li K. In-Database Large-Scale Statistical Data Analysis. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2020 Aug 13]. Available from: https://ufdc.ufl.edu/UFE0047785.

Council of Science Editors:

Li K. In-Database Large-Scale Statistical Data Analysis. [Doctoral Dissertation]. University of Florida; 2015. Available from: https://ufdc.ufl.edu/UFE0047785


Georgia Tech

29. Uppal, Karan. Translational bioinformatics for personalized medicine and integrative biology: Data integration, extraction, knowledge discovery, and visualization.

Degree: PhD, Biology, 2015, Georgia Tech

 This thesis focuses on developing a computational framework to support the Precision Medicine Initiative. The newly developed tools and algorithms use machine learning, text mining… (more)

Subjects/Keywords: Literature mining; Literature-based discovery; Text mining; Text summarization; Visualization; Content recognition; Feature selection; Data mining

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

APA (6th Edition):

Uppal, K. (2015). Translational bioinformatics for personalized medicine and integrative biology: Data integration, extraction, knowledge discovery, and visualization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55548

Chicago Manual of Style (16th Edition):

Uppal, Karan. “Translational bioinformatics for personalized medicine and integrative biology: Data integration, extraction, knowledge discovery, and visualization.” 2015. Doctoral Dissertation, Georgia Tech. Accessed August 13, 2020. http://hdl.handle.net/1853/55548.

MLA Handbook (7th Edition):

Uppal, Karan. “Translational bioinformatics for personalized medicine and integrative biology: Data integration, extraction, knowledge discovery, and visualization.” 2015. Web. 13 Aug 2020.

Vancouver:

Uppal K. Translational bioinformatics for personalized medicine and integrative biology: Data integration, extraction, knowledge discovery, and visualization. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/1853/55548.

Council of Science Editors:

Uppal K. Translational bioinformatics for personalized medicine and integrative biology: Data integration, extraction, knowledge discovery, and visualization. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/55548


NSYSU

30. Yuan, Li-An. A hybrid approach to automatic text summarization.

Degree: Master, Information Management, 2007, NSYSU

 Automatic text summarization can efficiently and effectively save usersâ time while reading text documents. The objective of automatic text summarization is to extract essential sentences… (more)

Subjects/Keywords: automatic text summarization; statistical approach; linguistic approach

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

APA (6th Edition):

Yuan, L. (2007). A hybrid approach to automatic text summarization. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1018107-100507

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):

Yuan, Li-An. “A hybrid approach to automatic text summarization.” 2007. Thesis, NSYSU. Accessed August 13, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1018107-100507.

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

MLA Handbook (7th Edition):

Yuan, Li-An. “A hybrid approach to automatic text summarization.” 2007. Web. 13 Aug 2020.

Vancouver:

Yuan L. A hybrid approach to automatic text summarization. [Internet] [Thesis]. NSYSU; 2007. [cited 2020 Aug 13]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1018107-100507.

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

Council of Science Editors:

Yuan L. A hybrid approach to automatic text summarization. [Thesis]. NSYSU; 2007. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-1018107-100507

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

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