ML Anthology

Inducing Criteria for Lexicalization Parts of Speech Using the Cyc KB

Tom O'Hara, Michael Witbrock, Bjørn Aldag, Stefano Bertolo, Nancy Salay, Jon Curtis, Kathy Panton
IJCAI 2003 pp. 1496-
/ijcai/2003/oaposhara2003ijcai-inducing/

Abstract

We present an approach for learning part-of-speech distinctions by induction over the lexicon of the Cyc knowledge base. This produces good results (74.6%) using a decision tree that incorporates both semantic features and syntactic features. Accurate results (90.5%) are achieved for the special case of deciding whether lexical mappings should use count noun or mass noun headwords. Comparable results are also obtained using OpenCyc, the publicly available version of Cyc.

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Text

O'Hara et al. "Inducing Criteria for Lexicalization Parts of Speech Using the Cyc KB." International Joint Conference on Artificial Intelligence, 2003.

Markdown

[O'Hara et al. "Inducing Criteria for Lexicalization Parts of Speech Using the Cyc KB." International Joint Conference on Artificial Intelligence, 2003.](https://mlanthology.org/ijcai/2003/oaposhara2003ijcai-inducing/)

BibTeX

@inproceedings{oaposhara2003ijcai-inducing,
  title     = {{Inducing Criteria for Lexicalization Parts of Speech Using the Cyc KB}},
  author    = {O'Hara, Tom and Witbrock, Michael and Aldag, Bjørn and Bertolo, Stefano and Salay, Nancy and Curtis, Jon and Panton, Kathy},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2003},
  pages     = {1496-},
  url       = {https://mlanthology.org/ijcai/2003/oaposhara2003ijcai-inducing/}
}