Tree-cut and A Lexicon based on Systematic Polysemy

Author: Noriko Tomuro
Journal-ref: In Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL2001), Pittsburgh, PA.

Abstract

This paper describes a lexicon organized around systematic polysemy: a set of word senses that are related in systematic and predictable ways.  The lexicon is derived by a fully automatic extraction method which utilizes a clustering technique called tree-cut.  We compare our lexicon to WordNet cousins, and the inter-annotator disagreement observed between WordNet Semcor and DSO corpora.

Paper: Full paper (postscript 590k) -- typos corrected on 5/22/01

Data:

• Systematically Polysemous Classes
  • README.txt
  • noun-relations.dat (61k)
  • verb-relations.dat (42k)
• Sense partitioned lexicon
  • nouns.dat.zip (135k), nouns.dat.gz (135 k)
  • verbs.dat.zip (77k), verbs.dat.gz (77 k)