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Word sense disambiguation incorporating lexical and structural semantic information
We present results that show that incorporating lexical and structural semantic information is effective for word sense disambiguation. We evaluated the method by using precise information from a large treebank and an ...
Alternation-based lexicon reconstruction
This research is aimed at developing a hierarchical alternation-based lexical architecture for machine translation. The proposed architecture makes ...
MRD-based word sense disambiguation : further extending lesk
This paper reconsiders the task of MRD-based word sense disambiguation, in extending the basic Lesk algorithm to investigate the impact on WSD performance of different tokenisation schemes, scoring mechanisms, methods of ...