natural-language-processing-14
Word Sense Disambiguation
3260 papers • 126 benchmarks • 313 datasets
The task of Word Sense Disambiguation (WSD) consists of associating words in context with their most suitable entry in a pre-defined sense inventory. The de-facto sense inventory for English in WSD is WordNet. For example, given the word “mouse” and the following sentence: “A mouse consists of an object held in one's hand, with one or more buttons.” we would assign “mouse” with its electronic device sense (the 4th sense in the WordNet sense inventory).
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Benchmarks
These leaderboards are used to track progress in word-sense-disambiguation-14
Trend
Dataset
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Actions
Supervised:
Supervised:
SemEval 2013 Task 12
SemEval 2013 Task 12
SensEval 2
Libraries
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4 papers 91
