Papers with GQNLI

2 papers
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.
New Datasets for Automatic Detection of Textual Entailment and of Contradictions between Sentences in French (2024.lrec-main)

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Challenge: DACCORD is a dataset for automatic detection of contradictions between sentences . it is the first dataset exclusively dedicated to this task .
Approach: They introduce DACCORD, a dataset in French for automatic detection of contradictions between sentences.
Outcome: The proposed datasets are more challenging than existing datasets for the mainstream task in French.

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