Archive | 2019

SyntagNet: Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations



Current research in knowledge-based Word Sense Disambiguation (WSD) indicates that performances depend heavily on the Lexical Knowledge Base (LKB) employed. This paper introduces SyntagNet, a novel resource consisting of manually disambiguated lexical-semantic combinations. By capturing sense distinctions evoked by syntagmatic relations, SyntagNet enables knowledge-based WSD systems to establish a new state of the art which challenges the hitherto unrivaled performances attained by supervised approaches. To the best of our knowledge, SyntagNet is the first large-scale manually-curated resource of this kind made available to the community (at

Volume None
Pages 3532-3538
DOI 10.18653/v1/d19-1359
Language English
Journal None

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