WNLI
3 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in WNLI
| Trend | Dataset | Best Model | Paper | Code | Compare |
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GLUE
Most implemented papers
A Hybrid Neural Network Model for Commonsense Reasoning
An HNN consists of two component models, a masked language model and a semantic similarity model, which share a BERT-based contextual encoder but use different model-specific input and output layers.
A Surprisingly Robust Trick for 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.
WikiCREM: A Large Unsupervised Corpus for Coreference Resolution
vid-koci/bert-commonsense
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IJCNLP 2019
We use a language-model-based approach for pronoun resolution in combination with our WikiCREM dataset.
