Improving subcategorization acquisition using word sense disambiguation
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TL;DR
An evaluation of the enriched subcategorization acquisition system using 29 'difficult' English verbs shows that WSD helps to improve the acquisition performance.
Abstract
We investigate the change in performance of automatic subcategorization acquisition when a word sense disambiguation (WSD) system is employed to guide the acquisition process. As a subgoal, this involves creating a probabilistic WSD system, which we evaluate on the Senseval-2 English allwords task data. We carry out an evaluation of the enriched subcategorization acquisition system using 29 `dif- cult' English verbs which shows that WSD helps to improve the acquisition performance.
