Supervised Learning for Semantic Classification of Spanish Collocations
- Cite this paper as:
- Gelbukh A., Kolesnikova O. (2010) Supervised Learning for Semantic Classification of Spanish Collocations. In: Martínez-Trinidad J.F., Carrasco-Ochoa J.A., Kittler J. (eds) Advances in Pattern Recognition. MCPR 2010. Lecture Notes in Computer Science, vol 6256. Springer, Berlin, Heidelberg
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.
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