Paper: Learning The Countability Of English Nouns From Corpus Data

ACL ID P03-1059
Title Learning The Countability Of English Nouns From Corpus Data
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2003
Authors

This paper describes a method for learn- ing the countability preferences of English nouns from raw text corpora. The method maps the corpus-attested lexico-syntactic properties of each noun onto a feature vector, and uses a suite of memory-based classifiers to predict membership in 4 countability classes.