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

Authors:
Sukanya Manna;Tom Gedeon;B. Sumudu U. Mendis
Affiliations:
School of Computer Science, The Australian National University, Canberra, ACT, Australia;School of Computer Science, The Australian National University, Canberra, ACT, Australia;School of Computer Science, The Australian National University, Canberra, ACT, Australia
Venue:
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Year:
2010

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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.