On Learning More Appropriate Selectional Restrictions
<|reference_start|>On Learning More Appropriate Selectional Restrictions: We present some variations affecting the association measure and thresholding on a technique for learning Selectional Restrictions from on-line corpora. It uses a wide-coverage noun taxonomy and a statistical measure to generalize the appropriate semantic classes. Evaluation measures for the Selectional Restrictions learning task are discussed. Finally, an experimental evaluation of these variations is reported.<|reference_end|>
@article{ribas1995on,
    title={On Learning More Appropriate Selectional Restrictions},
    author={Francesc Ribas (Universitat Politecnica de Catalunya)},
    journal={Proceedings EACL-95, Ireland},
    year={1995},
    archivePrefix={arXiv},
    eprint={cmp-lg/9502009},
    primaryClass={cmp-lg cs.CL}
}