Word Sense Disambiguation Using Neural Networks with Concept Co-occurrence Information.
Youjin Chung, Sin-Jae Kang, Kyoung-Hi Moon, Jong-Hyeok Lee · 2001
Most previous word sense disambiguation approaches based on neural networks were impractical due to their huge feature set size. We propose a method for resolving word sense ambiguity using neural networks with refined concept co-occurrence information (CCI) as features. Using CCI refinement processing, we reduce the number of features of the network to a practical size. We also show that word sense disambiguation can be improved by combining several clues rather than using them independently.