Semantic representations of near-synonyms for automatic lexical choice
Semantic representations of near-synonyms for automatic lexical choice
Acquiring collocations for lexical choice between near-synonyms
ULA '02 Proceedings of the ACL-02 workshop on Unsupervised lexical acquisition - Volume 9
PAKDD'09 Proceedings of the 13th Pacific-Asia international conference on Knowledge discovery and data mining: new frontiers in applied data mining
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This paper proposes a new method of ranking near-synonyms ordered by their suitability of nuances in a particular context. Our method distincts near-synonyms by semantic features extracted from their definition statements in an ordinary dictionary, and ranks them by the types of features and a particular context. Our method is an initial step to achieve a semantic paraphrase system for authoring support.