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2003

Learning the Countability of English Nouns from Corpus Data

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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%.
Timothy Baldwin, Francis Bond
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2003
Where ACL
Authors Timothy Baldwin, Francis Bond
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