On the Usefulness of Extracting Syntactic Dependencies for Text Indexing

نویسندگان

  • Miguel A. Alonso
  • Jesús Vilares
  • Victor M. Darriba
چکیده

In recent years, there has been a considerable amount of interest in using Natural Language Processing in Information Retrieval research, with specific implementations varying from the word-level morphological analysis to syntactic parsing to conceptual-level semantic analysis. In particular, different degrees of phrase-level syntactic information have been incorporated in information retrieval systems working on English or Germanic languages such as Dutch. In this paper we study the impact of using such information, in the form of syntactic dependency pairs, in the performance of a text retrieval system for a Romance language, Spanish.

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تاریخ انتشار 2002