CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
Contextual correlates of synonymy
Communications of the ACM
Placing search in context: the concept revisited
Proceedings of the 10th international conference on World Wide Web
Passage retrieval vs. document retrieval for factoid question answering
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Extraction of semantic information from an ordinary English dictionary and its evaluation
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Building a hyponymy lexicon with hierarchical structure
ULA '02 Proceedings of the ACL-02 workshop on Unsupervised lexical acquisition - Volume 9
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Similarity of Semantic Relations
Computational Linguistics
Espresso: leveraging generic patterns for automatically harvesting semantic relations
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
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Roget's Thesaurus is a lexical resource which groups terms by semantic relatedness. It is Roget's shortcoming that the relations are ambiguous, in that it does not name them; it only shows that there is a relation between terms. Our work focuses on disambiguating hypernym relations within Roget's Thesaurus. Several techniques of identifying hypernym relations are compared and contrasted in this paper, and a total of over 50,000 hypernym relations have been disambiguated within Roget's. Human judges have evaluated the quality of our disambiguation techniques, and we have demonstrated on several applications the usefulness of the disambiguated relations.