Paper: Improving Summaries By Revising Them

ACL ID P99-1072
Title Improving Summaries By Revising Them
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 1999
Authors

This paper describes a program which revises a draft text by aggregating together descriptions of discourse entities, in addition to deleting ex- traneous information. In contrast to knowledge- rich sentence aggregation approaches explored in the past, this approach exploits statistical parsing and robust coreference detection. In an evaluation involving revision of topic-related summaries using informativeness measures from the TIPSTER SUMMAC evaluation, the results show gains in informativeness without compro- mising readability.