Learning semantic relatedness from term discrimination information

Author:

Cai D.,van Rijsbergen C.J.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference74 articles.

1. Review: M. Lynne Murphy. Semantic relations and the lexicon: Antonymy, synonymy and other paradigms;Aitchison;International Journal of Lexicography,2005

2. Probabilistic models of information retrieval based on measuring the divergence from randomness;Amati;ACM Transactions on Information Systems,2002

3. ANSI/NISO Z39.19-2005. (2005). Guidelines for the construction, format, and management of monolingual thesauri. National Information Standards Organization.

4. Banerjee, S., & Pedersen, T. (2003). Extended gloss overlaps as a measure of semantic relatedness. In Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (pp. 805–810).

5. Berger, A., & Lafferty, J. (1999). Information retrieval as statistical translation. In Proceedings of the 22nd Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval (pp. 222–229).

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