ML p(r)ior | An Experiment on Learning Appropriate Selectional Restrictions from a Parsed Corpus
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An Experiment on Learning Appropriate Selectional Restrictions from a Parsed Corpus

1994-09-07
9409004 | cmp-lg
We present a methodology to extract Selectional Restrictions at a variable level of abstraction from phrasally analyzed corpora. The method relays in the use of a wide-coverage noun taxonomy and a statistical measure of the co-occurrence of linguistic items. Some experimental results about the performance of the method are provided.
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