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The automated acquisition of topic signatures for text summarization
2000
Proceedings of the 18th conference on Computational linguistics -
unpublished
Preserved Fulltext
In order to produce, a good summary, one has to identify the most relevant portions of a given text. We describe in this t)at)er a method for automatically training tel)it, signatures--sets of related words, with associated weights, organized around head topics and illustrate with signatm'es we cre-;tt.ed with 6,194 TREC collection texts over 4 selected tot)ics. We descril)e the l)ossible integration of' tolli(: signatures with ontoh)gies and its evaluaton on an automate(l text summarization system.
doi:10.3115/990820.990892
fatcat:hrnniqykavg35lrb6z3qo4fw5m