Paper: An Experiment On Learning Appropriate Selectional Restrictions From A Parsed Corpus

ACL ID C94-2123
Title An Experiment On Learning Appropriate Selectional Restrictions From A Parsed Corpus
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1994
Authors

We present a methodology to extract Selectional Restrictions at a variable level of abstraction from phrasally analyzed corpora. The method relays ia the use of a wide-coverage noun taxonomy and a statis- tical measure of the co-occurrence of linguistic items. Some experimental results about the performance of the method are provided. Keywords: large text corpora, computational lexicons 1 INTI~ODUCTION These last years there has been a common agreement in the natural language processing research community on the importance of having an extensive coverage of the surface lexical semantics of the domain to work with, (specially, typical contexts of use). 'iFhis knowl- edge may be expressed at different levels of abstraction depending on the phenomena involved: selecLional re~ strictions (SR~)...