Evaluating lexical resources using SENSEVAL

  • Authors:
  • Nicoletta Calzolari;Claudia Soria;Francesca Bertagna;Francesco Barsotti

  • Affiliations:
  • Istituto di Linguistica Computazionale-CNR, Via Moruzzi 1, 56100 Pisa, Italy e-mail: glottolo@ilc.cnr.it, claudia.soria@ilc.cnr.it, francesca.bertagna@ilc.cnr.it;Istituto di Linguistica Computazionale-CNR, Via Moruzzi 1, 56100 Pisa, Italy e-mail: glottolo@ilc.cnr.it, claudia.soria@ilc.cnr.it, francesca.bertagna@ilc.cnr.it;Istituto di Linguistica Computazionale-CNR, Via Moruzzi 1, 56100 Pisa, Italy e-mail: glottolo@ilc.cnr.it, claudia.soria@ilc.cnr.it, francesca.bertagna@ilc.cnr.it;Università di Pisa, Via S. Maria 36, 56100 Pisa, Italy e-mail: francesco.barsotti@ilc.cnr.it

  • Venue:
  • Natural Language Engineering
  • Year:
  • 2002

Quantified Score

Hi-index 0.00

Visualization

Abstract

The aim of our paper is twofold: to introduce some general reflections on the task of lexical semantic annotation and the adequacy of existing lexical-semantic reference resources, while giving an overall description of the Italian lexical sample task for the SENSEVAL-2 experiment. We suggest how the SENSEVAL exercise (and comparison between the two editions of the experiment) can be employed to evaluate the lexical reference resources used for annotation. We conclude with a few general remarks on the gap between the lexicon, a partially decontextualised object, and the corpus, where context plays a significant role.