Error-Driven Word sense disambiguation
Luca Dini, Vittorio Di Tomaso, Frederique Segond
In this paper we describe a method for performing word sense disambiguation (WSD). The method relies on
unsupervised learning and exploits functional relations among words as produced by a shallow parser. By
exploiting an error driven rule learning algorithm (Brill 1997), the system is able to produce rules for WSD,
which can be optionally edited by human in order to increase the performance of the system.
ACL-COLING-98, Montreal, August 98.
P98-1051.pdf (479.93 kB)