Class-driven attribute extraction

Benjamin Van Durme, Ting Qian, Lenhart Schubert

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

We report on the large-scale acquisition of class attributes with and without the use of lists of representative instances, as well as the discovery of unary attributes, such as typically expressed in English through prenominal adjectival modification. Our method employs a system based on compositional language processing, as applied to the British National Corpus. Experimental results suggest that document-based, open class attribute extraction can produce results of comparable quality as those obtained using web query logs, indicating the utility of exploiting explicit occurrences of class labels in text.

Original languageEnglish (US)
Title of host publicationColing 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference
PublisherAssociation for Computational Linguistics (ACL)
Pages921-928
Number of pages8
ISBN (Print)9781905593446
DOIs
StatePublished - 2008
Event22nd International Conference on Computational Linguistics, Coling 2008 - Manchester, United Kingdom
Duration: Aug 18 2008Aug 22 2008

Publication series

NameColing 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference
Volume1

Conference

Conference22nd International Conference on Computational Linguistics, Coling 2008
CountryUnited Kingdom
CityManchester
Period8/18/088/22/08

All Science Journal Classification (ASJC) codes

  • Language and Linguistics
  • Computational Theory and Mathematics
  • Linguistics and Language

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    Van Durme, B., Qian, T., & Schubert, L. (2008). Class-driven attribute extraction. In Coling 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference (pp. 921-928). (Coling 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference; Vol. 1). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1599081.1599197