Enhancement of subjective logic for semantic document analysis using hierarchical document signature

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

doi:10.1007/978-3-642-17537-4_37

Enhancement of subjective logic for semantic document analysis using hierarchical document signature

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

^*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

In this paper, an extension of Subjective Logic (SL) is presented which uses semantic information from a document to find 'opinions' about a sentence. This method computes semantic overlap of events (words or sentences) using Hierarchical Document Signature (HDS) and uses it as evidence to formulate SL belief measures to order sentences according to their importance. Stronger the opinion, more is the significance. These significant sentences then form extractive summaries of the document. The experimental results show that summaries generated by this method are more similar to human generated ones have outperformed the baseline summaries on average over all the data sets considered.

Original language	English
Title of host publication	Neural Information Processing
Subtitle of host publication	Theory and Algorithms - 17th International Conference, ICONIP 2010, Proceedings
Pages	298-306
Number of pages	9
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-17537-4_37
Publication status	Published - 2010
Event	17th International Conference on Neural Information Processing, ICONIP 2010 - Sydney, NSW, Australia Duration: 22 Nov 2010 → 25 Nov 2010

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	6443 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th International Conference on Neural Information Processing, ICONIP 2010
Country/Territory	Australia
City	Sydney, NSW
Period	22/11/10 → 25/11/10

Access to Document

10.1007/978-3-642-17537-4_37

Cite this

Manna, S., Gedeon, T., & Mendis, B. S. U. (2010). Enhancement of subjective logic for semantic document analysis using hierarchical document signature. In Neural Information Processing: Theory and Algorithms - 17th International Conference, ICONIP 2010, Proceedings (PART 1 ed., pp. 298-306). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6443 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-17537-4_37

Manna, Sukanya ; Gedeon, Tom ; Mendis, B. Sumudu U. / Enhancement of subjective logic for semantic document analysis using hierarchical document signature. Neural Information Processing: Theory and Algorithms - 17th International Conference, ICONIP 2010, Proceedings. PART 1. ed. 2010. pp. 298-306 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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abstract = "In this paper, an extension of Subjective Logic (SL) is presented which uses semantic information from a document to find 'opinions' about a sentence. This method computes semantic overlap of events (words or sentences) using Hierarchical Document Signature (HDS) and uses it as evidence to formulate SL belief measures to order sentences according to their importance. Stronger the opinion, more is the significance. These significant sentences then form extractive summaries of the document. The experimental results show that summaries generated by this method are more similar to human generated ones have outperformed the baseline summaries on average over all the data sets considered.",

keywords = "Hierarchical Document Signature, evidence, opinions, semantic, subjective logic, summarization",

author = "Sukanya Manna and Tom Gedeon and Mendis, {B. Sumudu U.}",

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Manna, S, Gedeon, T & Mendis, BSU 2010, Enhancement of subjective logic for semantic document analysis using hierarchical document signature. in Neural Information Processing: Theory and Algorithms - 17th International Conference, ICONIP 2010, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 6443 LNCS, pp. 298-306, 17th International Conference on Neural Information Processing, ICONIP 2010, Sydney, NSW, Australia, 22/11/10. https://doi.org/10.1007/978-3-642-17537-4_37

Enhancement of subjective logic for semantic document analysis using hierarchical document signature. / Manna, Sukanya; Gedeon, Tom; Mendis, B. Sumudu U.
Neural Information Processing: Theory and Algorithms - 17th International Conference, ICONIP 2010, Proceedings. PART 1. ed. 2010. p. 298-306 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6443 LNCS, No. PART 1).

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

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AU - Gedeon, Tom

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AB - In this paper, an extension of Subjective Logic (SL) is presented which uses semantic information from a document to find 'opinions' about a sentence. This method computes semantic overlap of events (words or sentences) using Hierarchical Document Signature (HDS) and uses it as evidence to formulate SL belief measures to order sentences according to their importance. Stronger the opinion, more is the significance. These significant sentences then form extractive summaries of the document. The experimental results show that summaries generated by this method are more similar to human generated ones have outperformed the baseline summaries on average over all the data sets considered.

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KW - opinions

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Manna S, Gedeon T, Mendis BSU. Enhancement of subjective logic for semantic document analysis using hierarchical document signature. In Neural Information Processing: Theory and Algorithms - 17th International Conference, ICONIP 2010, Proceedings. PART 1 ed. 2010. p. 298-306. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-17537-4_37

Enhancement of subjective logic for semantic document analysis using hierarchical document signature

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