Valence Induction with a Head-Lexicalized PCFG
<|reference_start|>Valence Induction with a Head-Lexicalized PCFG: 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.<|reference_end|>
@article{carroll1998valence,
    title={Valence Induction with a Head-Lexicalized PCFG},
    author={Glenn Carroll and Mats Rooth (IMS, Universit"at Stuttgart)},
    journal={arXiv preprint arXiv:cmp-lg/9805001},
    year={1998},
    archivePrefix={arXiv},
    eprint={cmp-lg/9805001},
    primaryClass={cmp-lg cs.CL}
}