On Learning More Appropriate Selectional Restrictions

Details On Learning More Appropriate Selectional Restrictions On Learning More Appropriate Selectional Restrictions

1995-02-09

arxiv.org/abs/cmp-lg/9502009v1

Proceedings EACL-95, Ireland

Computer Science

Computation and Language

7 pages, LaTeX (eaclap.sty)

Scientific paper

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

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