Supervised learning for semantic classification of Spanish collocations

Authors:
Alexander Gelbukh;Olga Kolesnikova
Affiliations:
Center for Computing Research, National Polytechnic Institute, Mexico City, Mexico;Center for Computing Research, National Polytechnic Institute, Mexico City, Mexico
Venue:
MCPR'10 Proceedings of the 2nd Mexican conference on Pattern recognition: Advances in pattern recognition
Year:
2010

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Abstract

The meaning of word combination such as give a book or lend money can be obtained by mechanically combining the meaning of the two constituting words: to give is to hand over, a book is a pack of pages, then to give a book is to hand over a pack of pages. However, the meaning of such word combinations as give a lecture or lend support is not obtained in this way: to give a lecture is not to hand it over. Such word pairs are called collocations. While their meaning cannot be derived automatically from the meaning of their constituents, we show how to predict the meaning of a previously unseen word combination using semantic regularities we observe in a training set of collocations whose meaning has been specified manually.