Expansion of multi-word terms for indexing and retrieval using morphology and syntax

  • Authors:
  • Christian Jacquemin;Judith L. Klavans;Evelyne Tzoukermann

  • Affiliations:
  • Institut de Recherche en Informatique, de Nantes, Nantes, France;Columbia University, New York, NY;Bell Laboratories, Lucent Technologies, Murray Hill, NJ

  • Venue:
  • ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
  • Year:
  • 1997

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Abstract

A system for the automatic production of controlled index terms is presented using linguistically-motivated techniques. This includes a finite-state part of speech tagger, a derivational morphological processor for analysis and generation, and a unification-based shallow-level parser using transformational rules over syntactic patterns. The contribution of this research is the successful combination of parsing over a seed term list coupled with derivational morphology to achieve greater coverage of multi-word terms for indexing and retrieval. Final results are evaluated for precision and recall, and implications for indexing and retrieval are discussed.