Paper: Word Sense Disambiguation In Untagged Text Based On Term Weight Learning

ACL ID E99-1028
Title Word Sense Disambiguation In Untagged Text Based On Term Weight Learning
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 1999
Authors

This paper describes unsupervised learn- ing algorithm for disambiguating verbal word senses using term weight learning. In our method, collocations which char- acterise every sense are extracted using similarity-based estimation. For the re- sults, term weight learning is performed. Parameters of term weighting are then estimated so as to maximise the colloca- tions which characterise every sense and minimise the other collocations. The re- suits of experiment demonstrate the ef- fectiveness of the method.