Word senses are a key source of information for text interpretation.
My research has shown that the discrimination of word senses with respect to conventional lexicons is not as helpful as it should be, because real tasks such as data extraction and machine translation demand lexical discrimination along different dimensions. The richest source of information about words and word senses is corpus analysis, thus I have set out to show how word sense knowledge can be acquired from corpus data. References P. Jacobs, G. Krupka, L. Rau, M. Mauldin, T. Mitamura, T. Kitani, I. Sider, and L. Childs. Word sense acquisition for multilingual text interpretation. In Proceedings of the 15th International Conference on Computational Linguistics , Kyoto, Japan, August 1994.