WiC

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WiC is a benchmark for the evaluation of context-sensitive word embeddings. WiC is framed as a binary classification task. Each instance in WiC has a target word w, either a verb or a noun, for which two contexts are provided. Each of these contexts triggers a specific meaning of w. The task is to identify if the occurrences of w in the two contexts correspond to the same meaning or not. In fact, the dataset can also be viewed as an application of Word Sense Disambiguation in practise. Source: [WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations](/paper/wic-10000-example-pairs-for-evaluating)

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