Automatic acquisition of grammatical types for nouns
Automatic acquisition of grammatical types for nouns
Citació
- Bel N, Espeja S, Marimon M. Automatic acquisition of grammatical types for nouns. In: Sidner C, Schultz T, Stone M, Zhai C, editors. Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics Companion Volume Short Papers. 2007 Apr 22-27; New York, USA. Association for Computational Linguistics; 2007. p. 5-8.
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Resum
The work we present here is concerned with the acquisition of deep grammatical information for nouns in Spanish. The aim is to build a learner that can handle noise, but, more interestingly, that is able to overcome the problem of sparse data, especially important in the case of nouns. We have based our work on two main points. Firstly, we have used distributional evidences as features. Secondly, we made the learner deal with all occurrences of a word as a single complex unit. The obtained results show that grammatical features of nouns is a level of generalization that can be successfully approached with a Decision Tree learner.Descripció
Comunicació presentada a: Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics 2007, celebrada a New York, United States of America, del 22 al 27 d'abril de 2007.