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The automated acquisition of topic signatures for text summarization

, and . Proceedings of the 18th conference on Computational linguistics - Volume 1, page 495--501. Stroudsburg, PA, USA, Association for Computational Linguistics, (2000)
DOI: 10.3115/990820.990892

Abstract

In order to produce a good summary, one has to identify the most relevant portions of a given text. We describe in this paper a method for automatically training topic signatures-sets of related words, with associated weights, organized around head topics and illustrate with signatures we created with 6,194 TREC collection texts over 4 selected topics. We describe the possible integration of topic signatures with outologies and its evaluaton on an automated text summarization system.

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