Lexical patterns or dependency patterns: which is better for hypernym extraction?

Open Access
Authors
Publication date 2009
Host editors
  • S. Stevenson
  • X. Carreras
Book title Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL-2009)
Book subtitle June 4-5, 2009, Boulder, Colorado
ISBN
  • 9781932432299
Event 13th Conference on Computational Natural Language Learning (CoNLL-2009), Boulder, CO, USA
Pages (from-to) 174-182
Publisher Stroudsburg, PA: Association for Computational Linguistics
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
We compare two different types of extraction patterns for automatically deriving semantic information from text: lexical patterns, built from words and word class information, and dependency patterns with syntactic information obtained from a full parser. We are particularly interested in whether the richer linguistic information provided by a parser allows for a better performance of subsequent information extraction work. We evaluate automatic extraction of hypernym information from text and conclude that the application of dependency patterns does not lead to substantially higher precision and recall scores than using lexical patterns.
Document type Conference contribution
Language English
Published at http://portal.acm.org/citation.cfm?id=1596374.1596402 https://aclweb.org/anthology/W09-1122/
Downloads
320572.pdf (Final published version)
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