Learning the Countability of English Nouns from Corpus Data

This paper describes a method for learning 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. We were able to assign countability to English nouns with a precision of 94.6%.

• Type: Conference
• Year: 2003
• Where: ACL
• Authors: Timothy Baldwin, Francis Bond
• Keywords: ACL 2003, ACL 2007, Corpus-attested Lexico-syntactic Properties, English Nouns, Raw Text Corpora