Tuning Lexicons to New Operational Scenarios

نویسندگان

  • Roberto Basili
  • Maria Teresa Pazienza
  • Michele Vindigni
  • Fabio Massimo Zanzotto
چکیده

In this paper the role of the lexicon within typical application tasks based on NLP is analysed. A large scale semantic lexicon is studied within the framework of a NLP application. The coverage of the lexicon with respect the target domain and a (semi)automatic tuning approach have been evaluated. The impact of a corpus-driven inductive architecture aiming to compensate lacks in lexical information are thus measured and discussed.

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تاریخ انتشار 2000