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Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop on - EACL '09
This paper deals with the task of finding generally applicable substitutions for a given input term. We show that the output of a distributional similarity system baseline can be filtered to obtain terms that are not simply similar but frequently substitutable. Our filter relies on the fact that when two terms are in a common entailment relation, it should be possible to substitute one for the other in their most frequent surface contexts. Using the Google 5-gram corpus to find suchdoi:10.3115/1609179.1609183 fatcat:l6g4fhl2j5aojgmkwdgqam26l4