Methods for Automatic Evaluation of Sentence Extract Summaries

Ravindra, G and Balakrishnan, N and Ramakrishnan, KR (2006) Methods for Automatic Evaluation of Sentence Extract Summaries. In: Second International Conference on Universal Digital Libraries, November 17-19 2006, Alexandria, Egypt.

PDF Methods_for.pdf - Published Version Restricted to Registered users only Download (244kB) | Request a copy

Abstract

This paper describes three novel techniques to automatically evaluate sentence extract summaries. Two of these techniques called FuSE and DeFuSE evaluate the quality of the generated extract summary based on the degree of similarity to the model summary. They use a fuzzy set theoretic basis to generate a match score. DeFuSE is an enhancement to FuSE and uses WordNet based hypernymy structures to detect similarity between sentences at abstracted levels. The third technique focuses on quantifying the quality of an extract summary based on the difficulty in generating such a summary. Advantages of these techniques are described with examples.

Item Type:	Conference Paper
Keywords:	Collocation;Fuzzy set theory;s-norm operator;Summarization; WordNet
Department/Centre:	Division of Electrical Sciences > Electrical Engineering Division of Interdisciplinary Sciences > Supercomputer Education & Research Centre
Date Deposited:	24 Nov 2011 06:39
Last Modified:	24 Nov 2011 06:39
URI:	http://eprints.iisc.ac.in/id/eprint/42133

Actions (login required)

View Item