WiC-TSV: An Evaluation Benchmark for Target Sense Verification of Words in Context
| Autor: | Breit, Anna, Revenko, Artem, Rezaee, Kiamehr, Pilehvar, Mohammad Taher, Camacho-Collados, Jose |
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| Rok vydání: | 2020 |
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| Druh dokumentu: | Working Paper |
| Popis: | We present WiC-TSV, a new multi-domain evaluation benchmark for Word Sense Disambiguation. More specifically, we introduce a framework for Target Sense Verification of Words in Context which grounds its uniqueness in the formulation as a binary classification task thus being independent of external sense inventories, and the coverage of various domains. This makes the dataset highly flexible for the evaluation of a diverse set of models and systems in and across domains. 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. Experimental results show that even though these models can perform decently on the task, there remains a gap between machine and human performance, especially in out-of-domain settings. WiC-TSV data is available at https://competitions.codalab.org/competitions/23683 Comment: Accepted to EACL 2021. Reference paper of the SemDeep WiC-TSV challenge: https://competitions.codalab.org/competitions/23683 |
| Databáze: | arXiv |
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