Capture of Evidence for Summarization: An Application of Enhanced Subjective Logic
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Manna, Sukanya
Mendis, B Sumudu
Gedeon, Tamas (Tom)
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Springer
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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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Advances in Knowledge Discovery & Data Mining Proceedings of the 14th Pacific Asia conference (PAKDD)
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2037-12-31
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