A Methodology for Word Sense Disambiguation at 90% based on large-scale CrowdSourcing


Word Sense Disambiguation has been stuck for many years. In this paper we explore the use of large-scale crowdsourcing to cluster senses that are often confused by non-expert annotators. We show that we can increase performance at will: our in-domain experiment involving 45 highly polysemous nouns, verbs and adjective (9.8 senses on average), yields an… (More)


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