Paper: On Learning More Appropriate Selectional Restrictions

ACL ID E95-1016
Title On Learning More Appropriate Selectional Restrictions
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 1995
Authors

We present some variations affecting the association measure and thresholding on a technique for learning Selectional Re- strictions from on-line corpora. It uses a wide-coverage noun taxonomy and a statistical measure to generalize the ap- propriate semantic classes. Evaluation measures for the Selectional Restrictions learning task are discussed. Finally, an experimental evaluation of these varia- tions is reported.