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Corpus-Based Argument Identification Using a Statistically Enriched Valency MRD

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Predicative Forms in Natural Language and in Lexical Knowledge Bases

Part of the book series: Text, Speech and Language Technology ((TLTB,volume 6))

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Abstract

This chapter describes a system for automatically acquiring sub-categorization information for Swedish verbs from corpora by using available lexical resources in order to reduce the effects of the knowledge acquisition bottleneck. I emphasize the need of such knowledge and focus on the automatic validation and qualitative and quantitative completion of the content of these resources, as far as that is possible. The aim of this work is to maintain a complete knowledge-base, which can be easily updated and extended with minimal human supervision. This knowledge is of vital importance in a broad range of applications, such as lexically specified grammars, e.g. HPSG, parsing and language learning.

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Authors and Affiliations

  1. Språkdata/Dept. of Swedish Language, Göteborg University, SE 405 20, Sweden

    Dimitrios Kokkinakis

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  1. Dimitrios Kokkinakis
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  1. IRIT-CNRS, Toulouse, France

    Patrick Saint-Dizier

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© 1999 Springer Science+Business Media Dordrecht

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Kokkinakis, D. (1999). Corpus-Based Argument Identification Using a Statistically Enriched Valency MRD. In: Saint-Dizier, P. (eds) Predicative Forms in Natural Language and in Lexical Knowledge Bases. Text, Speech and Language Technology, vol 6. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-2746-4_7

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  • DOI: https://doi.org/10.1007/978-94-017-2746-4_7

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-5146-2

  • Online ISBN: 978-94-017-2746-4

  • eBook Packages: Springer Book Archive

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