Computer Science – Computation and Language
Scientific paper
1998-05-05
Computer Science
Computation and Language
10 pages, 5 postscript figures
Scientific paper
This paper presents an experiment in learning valences (subcategorization frames) from a 50 million word text corpus, based on a lexicalized probabilistic context free grammar. Distributions are estimated using a modified EM algorithm. We evaluate the acquired lexicon both by comparison with a dictionary and by entropy measures. Results show that our model produces highly accurate frame distributions.
Carroll Glenn
Rooth Mats
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