Task Adapters

Pre-trained model:

WiC

The Word-in-Context dataset is a word sense disambiguation task in the form of a binary classification task. Each dataset example consists of two sentences and a polysemous word that appears in both. The task then is to determine whether the word is used with the same sense in both sentences.

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