Corpus-based method for automatic identification of support verbs for nominalizations

  • Authors:
  • Gregory Grefenstette;Simone Teufel

  • Affiliations:
  • Rank Xerox Research Centre, Meylan, France;Universität Stuttgart, Institut für maschinelle Sprachverarbeitung, Stuttgart

  • Venue:
  • EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics
  • Year:
  • 1995

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Abstract

Nominalization is a highly productive phenomena in most languages. The process of nominalization ejects a verb from its syntactic role into a nominal position. The original verb is often replaced by a semantically emptied support verb (e.g., make a proposal). The choice of a support verb for a given nominalization is unpredictable, causing a problem for language learners as well as for natural language processing systems. We present here a method of discovering support verbs from an untagged corpus via low-level syntactic processing and comparison of arguments attached to verbal forms and potential nominalized forms. The result of the process is a list of potential support verbs for the nominalized form of a given predicate.