Before revision:  WiC-TSV is split into three tasks (systems get hypernymy or definitional or both hypernymy and definitional information about the target sense). Test data is available in four domains: general (WordNet), computer science, cocktails and medical concepts. Results show that existing state-of-the-art language models such as BERT can achieve a high performancein both in-domain data and out-of-domain data, but they still have room for improvement .
After revision:  WiC-TSV provides three different evaluation settings, depending on the input signals provided to the model. We set baseline performance on the dataset using state-of-the-art language models such as BERT can achieve a high performancein both in-domain data and out-of-domain data, but they still have room for improvement .