Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks (2022.naacl-main)
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| Challenge: | Quantifiers are pervasive in NLU benchmarks and their occurrence at test time is associated with performance drops. |
| Approach: | They propose a generalized quantifier NLI task to quantify their contribution to the errors of NLU models. |
| Outcome: | The proposed model is based on a generalized quantifier theory and is compared with pre-trained models. |
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