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Sense-based clustering of Polish nouns in the extraction of semantic relatedness

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3 Author(s)
Broda, B. ; Inst. of Appl. Inf., Wroclaw Univ. of Technol., Wroclaw ; Piasecki, M. ; Szpakowicz, S.

The construction of a wordnet from scratch requires intelligent software support. An accurate measure of semantic relatedness can be used to extract groups of semantically close words from a corpus. Such groups help a lexicographer make decisions about synset membership and synset placement in the network. We have adapted to Polish the well-known algorithm of Clustering by Committee, and tested it on the largest Polish corpus available. The evaluation by way of a plWordNet-based synonymy test used Polish WordNet, a resource still under development. The results are consistent with a few benchmarks, but not encouraging enough yet to make a wordnet writer's support tool immediately useful.

Published in:

Computer Science and Information Technology, 2008. IMCSIT 2008. International Multiconference on

Date of Conference:

20-22 Oct. 2008