| LREC 2000 2nd International Conference on Language Resources & Evaluation | ||||||
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| Title | Tuning Lexicons to New Operational Scenarios |
| Authors | Basili Roberto (University of Rome Tor Vergata, Department of Computer Science, Systems and Production, Via di Tor Vergata 110, 00133 Roma (Italy), basili@info.uniroma2.it) Pazienza Maria Teresa (University of Rome Tor Vergata, Department of Computer Science, Systems and Production, Via di Tor Vergata 110, 00133 Roma (Italy), pazienza@info.uniroma2.it) Vindigni Michele (University of Rome Tor Vergata, Department of Computer Science, Systems and Production, Via di Tor Vergata 110, 00133 Roma (Italy), vindigni@info.uniroma2.it) Zanzotto Fabio Massimo (University of Rome Tor Vergata, Department of Computer Science, Systems and Production, Via di Tor Vergata 110, 00133 Roma (Italy), zanzotto@info.uniroma2.it) |
| Keywords | Event Recognition, Induction, Lexical Acquisition, Lexical Tuning, Lexicon, Word Sense Disambiguation |
| Session | Session WO6 - Acquisition of Lexical Information |
| Full Paper | 330.ps, 330.pdf |
| Abstract | 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. |