Automatic extraction of subcategorization from corpora
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Learning the countability of English nouns from corpus data
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Bootstrapping deep lexical resources: resources for courses
DeepLA '05 Proceedings of the ACL-SIGLEX Workshop on Deep Lexical Acquisition
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
The Spanish resource grammar: pre-processing strategy and lexical acquisition
DeepLP '07 Proceedings of the Workshop on Deep Linguistic Processing
Automatic detection of non-deverbal event nouns for quick lexicon production
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
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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.