A framework for figurative language detection based on sense differentiation

Authors:
Daria Bogdanova
Affiliations:
University of Saint Petersburg, Saint Petersburg
Venue:
ACLstudent '10 Proceedings of the ACL 2010 Student Research Workshop
Year:
2010

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Abstract

Various text mining algorithms require the process of feature selection. High-level semantically rich features, such as figurative language uses, speech errors etc., are very promising for such problems as e.g. writing style detection, but automatic extraction of such features is a big challenge. In this paper, we propose a framework for figurative language use detection. This framework is based on the idea of sense differentiation. We describe two algorithms illustrating the mentioned idea. We show then how these algorithms work by applying them to Russian language data.