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Diathesis alternation approximation for verb clustering

Lin Sun, Anna Korhonen and Diana McCarthy

The 51st Annual Meeting of the Association for Computational Linguistics - Short Papers (ACL Short Papers 2013)
Sofia, Bulgaria, August 4-9, 2013


Abstract

Although diathesis alternations have been used as features for manual verb classification, there has been little work on systematically incorporating such features within automatic verb classification. This paper proposes a method for approximating diathesis alternation behaviour in corpus data and shows, using a state-of-the-art verb clustering system, that features based on alternation approximation outperform those based on independent subcategorization frames. Our alternation-based approach is particularly adept at leveraging information from less frequent data.


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