A surprisingly robust trick for the Winograd Schema Challenge
The Winograd Schema Challenge (WSC) dataset WSC273 and its inference counterpart WNLI are popular benchmarks for natural language understanding and commonsense reasoning. In this paper, we show that the performance of three language models on WSC273 consistently and robustly improves when fine-tuned...
| Main Authors: | , , , , |
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| Format: | Conference item |
| Published: |
Association for Computational Linguistics
2019
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