The Automated Acquisition of Topic Signatures for Text Summarization

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.

• Type: Conference
• Year: 2000
• Where: COLING
• Authors: Chin-Yew Lin, Eduard H. Hovy
• Keywords: COLING 2000, COLING 2008, Relevant Portions, Text Summarization System, TREC Collection Texts