Publication at Faculty of Mathematics and Physics |
2007
Abstract
In this paper we present three quite different approaches to word senses description in three particular lexicons. The advantages and disadvantages of these approaches are mentioned.
We have done some practical experiments with all of them. These experiments--including machine learning and manual annotation--are briefly described.
At the end, we conclude by comparing those three lexicons.