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Constructing semantic space models from parsed corpora

Published: 07 July 2003 Publication History

Abstract

Traditional vector-based models use word co-occurrence counts from large corpora to represent lexical meaning. In this paper we present a novel approach for constructing semantic spaces that takes syntactic relations into account. We introduce a formalisation for this class of models and evaluate their adequacy on two modelling tasks: semantic priming and automatic discrimination of lexical relations.

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Cited By

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  • (2019)Unsupervised compositionality prediction of nominal compoundsComputational Linguistics10.1162/coli_a_0034145:1(1-57)Online publication date: 1-Mar-2019
  • (2012)A tensor encoding model for semantic processingProceedings of the 21st ACM international conference on Information and knowledge management10.1145/2396761.2398617(2267-2270)Online publication date: 29-Oct-2012
  • (2007)Co-occurrence contexts for noun compound interpretationProceedings of the Workshop on a Broader Perspective on Multiword Expressions10.5555/1613704.1613712(57-64)Online publication date: 28-Jun-2007
  • Show More Cited By

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cover image DL Hosted proceedings
ACL '03: Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
July 2003
571 pages

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Association for Computational Linguistics

United States

Publication History

Published: 07 July 2003

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View all
  • (2019)Unsupervised compositionality prediction of nominal compoundsComputational Linguistics10.1162/coli_a_0034145:1(1-57)Online publication date: 1-Mar-2019
  • (2012)A tensor encoding model for semantic processingProceedings of the 21st ACM international conference on Information and knowledge management10.1145/2396761.2398617(2267-2270)Online publication date: 29-Oct-2012
  • (2007)Co-occurrence contexts for noun compound interpretationProceedings of the Workshop on a Broader Perspective on Multiword Expressions10.5555/1613704.1613712(57-64)Online publication date: 28-Jun-2007
  • (2006)Comparison of similarity models for the relation discovery taskProceedings of the Workshop on Linguistic Distances10.5555/1641976.1641981(25-34)Online publication date: 23-Jul-2006
  • (2006)A bootstrapping approach to unsupervised detection of cue phrase variantsProceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics10.3115/1220175.1220291(921-928)Online publication date: 17-Jul-2006
  • (2005)A semantic approach to IE pattern inductionProceedings of the 43rd Annual Meeting on Association for Computational Linguistics10.3115/1219840.1219887(379-386)Online publication date: 25-Jun-2005
  • (2005)The distributional inclusion hypotheses and lexical entailmentProceedings of the 43rd Annual Meeting on Association for Computational Linguistics10.3115/1219840.1219854(107-114)Online publication date: 25-Jun-2005
  • (2004)Linguistic preprocessing for distributional classification of wordsProceedings of the Workshop on Enhancing and Using Electronic Dictionaries10.5555/1610042.1610046(15-21)Online publication date: 29-Aug-2004

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