Using Verb Subcategorization for Word Sense Disambiguation
Will Roberts, Valia Kordoni · 2012
We develop a model for predicting verb sense from subcategorization information and integrate it into SSI-Dijkstra, a wide-coverage knowledge-based WSD algorithm.Adding syntactic knowledge in this way should correct the current poor performance of WSD systems on verbs.This paper also presents, for the first time, an evaluation of SSI-Dijkstra on a standard data set which enables a comparison of this algorithm with other knowledge-based WSD systems.Our results show that our system is competitive with current graph-based WSD algorithms, and that the subcategorization model can be used to achieve better verb sense disambiguation performance.