Capture of evidence for summarization: An application of enhanced subjective logic

Sukanya Manna; B. Sumudu U. Mendis; Tom Gedeon

doi:10.1007/978-3-642-13672-6_29

Capture of evidence for summarization: An application of enhanced subjective logic

Sukanya Manna^*, B. Sumudu U. Mendis, Tom Gedeon

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, we present a method to generate an extractive summary from a single document using subjective logic. The idea behind our approach is to consider words and their co-occurrences between sentences in a document as evidence of their relatedness to the contextual meaning of the document. Our aim is to formulate a measure to find out 'opinion' about a proposition (which is a sentence in this case) using subjective logic in a closed environment (as in a document). Stronger opinion about a sentence represents its importance and are hence considered to summarize a document. Summaries generated by our method when evaluated with human generated summaries, show that they are more similar than baseline summaries.

Original language	English
Title of host publication	Advances in Knowledge Discovery and Data Mining - 14th Pacific-Asia Conference, PAKDD 2010, Proceedings
Pages	291-298
Number of pages	8
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-13672-6_29
Publication status	Published - 2010
Event	14th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2010 - Hyderabad, India Duration: 21 Jun 2010 → 24 Jun 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	6119 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2010
Country/Territory	India
City	Hyderabad
Period	21/06/10 → 24/06/10

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10.1007/978-3-642-13672-6_29

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Manna, S., Mendis, B. S. U., & Gedeon, T. (2010). Capture of evidence for summarization: An application of enhanced subjective logic. In Advances in Knowledge Discovery and Data Mining - 14th Pacific-Asia Conference, PAKDD 2010, Proceedings (PART 2 ed., pp. 291-298). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6119 LNAI, No. PART 2). https://doi.org/10.1007/978-3-642-13672-6_29

Manna, Sukanya ; Mendis, B. Sumudu U. ; Gedeon, Tom. / Capture of evidence for summarization : An application of enhanced subjective logic. Advances in Knowledge Discovery and Data Mining - 14th Pacific-Asia Conference, PAKDD 2010, Proceedings. PART 2. ed. 2010. pp. 291-298 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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Manna, S, Mendis, BSU & Gedeon, T 2010, Capture of evidence for summarization: An application of enhanced subjective logic. in Advances in Knowledge Discovery and Data Mining - 14th Pacific-Asia Conference, PAKDD 2010, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 6119 LNAI, pp. 291-298, 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2010, Hyderabad, India, 21/06/10. https://doi.org/10.1007/978-3-642-13672-6_29

Capture of evidence for summarization: An application of enhanced subjective logic. / Manna, Sukanya; Mendis, B. Sumudu U.; Gedeon, Tom.
Advances in Knowledge Discovery and Data Mining - 14th Pacific-Asia Conference, PAKDD 2010, Proceedings. PART 2. ed. 2010. p. 291-298 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6119 LNAI, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - In this paper, we present a method to generate an extractive summary from a single document using subjective logic. The idea behind our approach is to consider words and their co-occurrences between sentences in a document as evidence of their relatedness to the contextual meaning of the document. Our aim is to formulate a measure to find out 'opinion' about a proposition (which is a sentence in this case) using subjective logic in a closed environment (as in a document). Stronger opinion about a sentence represents its importance and are hence considered to summarize a document. Summaries generated by our method when evaluated with human generated summaries, show that they are more similar than baseline summaries.

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Manna S, Mendis BSU, Gedeon T. Capture of evidence for summarization: An application of enhanced subjective logic. In Advances in Knowledge Discovery and Data Mining - 14th Pacific-Asia Conference, PAKDD 2010, Proceedings. PART 2 ed. 2010. p. 291-298. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-13672-6_29

Capture of evidence for summarization: An application of enhanced subjective logic

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