Paper: Generalizing Automatically Generated Selectional Patterns

ACL ID C94-2119
Title Generalizing Automatically Generated Selectional Patterns
Venue International Conference on Computational Linguistics
Session Main Conference
Year 1994
Authors

Frequency information on co-occurrence patterns can be atttomatically collected from a syntactically ana- lyzed corpus; this information can then serve as the ba- sis for selectional constraints when analyzing new text; from the same domain. Tiffs information, however, is necessarily incomplete. We report on measurements of the degree of selectional coverage obtained with ditt~r- ent sizes of corpora. We then describe a technique for using the corpus to identify selectionally similar terms, and for using tiffs similarity to broaden the seleetional coverage for a tixed corpus size.