Finding constraints for semantic relations via clustering

Authors
Publication date 2010
Host editors
  • E. Westerhout
  • T. Markus
  • P. Monachesi
Book title Proceedings of the 20th Meeting of Computational Linguistics in the Netherlands (CLIN 20)
ISBN
  • 978-94-6093-047-8
Series LOT. Occasional series
Event 20th Meeting of Computational Linguistics in the Netherlands (CLIN 20), Utrecht, the Netherlands
Pages (from-to) 59-73
Publisher Utrecht: LOT
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract Automatic recognition of semantic relations constitutes an important part of information extraction. Many existing information extraction systems rely on syntactic information found in a sentence to accomplish this task. In this paper, we look into relation arguments and claim that some semantic relations can be described by constraints imposed on them. This information would provide more insight on the nature of semantic relations and could be further combined with the evidence found in a sentence to arrive at actual extractions.
Document type Conference contribution
Language English
Published at http://lotos.library.uu.nl/publish/articles/000363/bookpart.pdf
Permalink to this page
Back