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

Authors:
Sukanya Manna;B. Sumudu U. Mendis;Tom Gedeon
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:
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Year:
2010

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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.