Update Summarization Based on Latent Semantic Analysis

Authors:
Josef Steinberger;Karel Ježek
Affiliations:
University of West Bohemia, Plzeň 306 14;University of West Bohemia, Plzeň 306 14
Venue:
TSD '09 Proceedings of the 12th International Conference on Text, Speech and Dialogue
Year:
2009

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Abstract

This paper deals with our recent research in text summarization. We went from single-document summarization through multi-document summarization to update summarization. We describe the development of our summarizer which is based on latent semantic analysis (LSA) and propose the update summarization component which determines the redundancy and novelty of each topic discovered by LSA. The final part of this paper presents the results of our participation in the experiment of Text Analysis Conference 2008.