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Identifying events using similarity and context

Published: 31 May 2003 Publication History

Abstract

As part of our work on automatically building knowledge structures from text, we apply machine learning to determine which clauses from multiple narratives describing similar situations should be grouped together as descriptions of the same type of occurrence. Our approach to the problem uses textual similarity and context from other clauses. Besides training data, our system uses only a partial parser as outside knowledge. We present results evaluating the cohesiveness of the aggregated clauses and a brief overview of how this work fits into our overall system.

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Cited By

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  • (2010)Learning script knowledge with web experimentsProceedings of the 48th Annual Meeting of the Association for Computational Linguistics10.5555/1858681.1858781(979-988)Online publication date: 11-Jul-2010

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cover image DL Hosted proceedings
CONLL '03: Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
May 2003
213 pages

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Association for Computational Linguistics

United States

Publication History

Published: 31 May 2003

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  • (2010)Learning script knowledge with web experimentsProceedings of the 48th Annual Meeting of the Association for Computational Linguistics10.5555/1858681.1858781(979-988)Online publication date: 11-Jul-2010

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