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
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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