Enhancement of Subjective Logic for Semantic Document Analysis Using Hierarchical Document Signature

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...

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Bibliographic Details
Published inNeural Information Processing. Theory and Algorithms pp. 298 - 306
Main Authors Manna, Sukanya, Gedeon, Tom, Mendis, B. Sumudu. U.
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2010
SeriesLecture Notes in Computer Science
Subjects
evidence
Hierarchical Document Signature
opinions
semantic
subjective logic
summarization
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Summary: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.
ISBN:3642175368
9783642175367
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-642-17537-4_37