Inducing a Semantically Annotated Lexicon via EM-Based Clustering
<|reference_start|>Inducing a Semantically Annotated Lexicon via EM-Based Clustering: We present a technique for automatic induction of slot annotations for subcategorization frames, based on induction of hidden classes in the EM framework of statistical estimation. The models are empirically evalutated by a general decision test. Induction of slot labeling for subcategorization frames is accomplished by a further application of EM, and applied experimentally on frame observations derived from parsing large corpora. We outline an interpretation of the learned representations as theoretical-linguistic decompositional lexical entries.<|reference_end|>
@article{rooth1999inducing,
    title={Inducing a Semantically Annotated Lexicon via EM-Based Clustering},
    author={Mats Rooth, Stefan Riezler, Detlef Prescher, Glenn Carroll, and Franz
  Beil (IMS, University of Stuttgart)},
    journal={arXiv preprint arXiv:cs/9905008},
    year={1999},
    archivePrefix={arXiv},
    eprint={cs/9905008},
    primaryClass={cs.CL cs.AI cs.LG}
}