🔗 Who cites «Natural Language Inference from Multiple Premises»

31 papers of our library cite it (of the 149,439 whose bibliographies we read) · 13 with a page here, the most cited first · ← back to «Natural Language Inference from Multiple Premises»

1. Explaining Answers with Entailment TreesConference on Empirical Methods in Natural Language Processing (EMNLP)Bhavana Dalvi, Peter Jansen, Oyvind Tafjord, et al.2021 · 211 citations
2. Collecting Diverse Natural Language Inference Problems for Sentence Representation EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Adam Poliak, Aparajita Haldar, Rachel Rudinger, et al.2018 · 193 citations
3. Are Natural Language Inference Models IMPPRESsive? Learning IMPlicature and PRESuppositionPaloma Jeretic, Alex Warstadt, Suvrat Bhooshan, et al.2020 · 161 citations
4. Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Yonatan Belinkov, Adam Poliak, Stuart Shieber, et al.2019 · 123 citations
5. End-to-End Bias Mitigation by Modelling Biases in CorporaAnnual Meeting of the Association for Computational Linguistics (ACL)Rabeeh Karimi Mahabadi, Yonatan Belinkov, James Henderson2020 · 111 citations
6. Uncertain Natural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Tongfei Chen, Zhengping Jiang, Adam Poliak, et al.2020 · 107 citations
7. Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial TrainingConference on Empirical Methods in Natural Language Processing (EMNLP)Joe Stacey, Pasquale Minervini, Haim Dubossarsky, et al.2020 · 70 citations
8. New Protocols and Negative Results for Textual Entailment Data CollectionConference on Empirical Methods in Natural Language Processing (EMNLP)Samuel R. Bowman, Jennimaria Palomaki, Livio Baldini Soares, et al.2020 · 27 citations
9. Investigating the Performance of Transformer-Based NLI Models on Presuppositional InferencesInternational Conference on Computational Linguistics (COLING)Jad Kabbara, Jackie Chi Kit Cheung2022 · 12 citations
10. How Fast can BERT Learn Simple Natural Language Inference?Conference of the European Chapter of the Association for Computational Linguistics (EACL)Yi-Chung Lin, Keh-Yih Su2021 · 10 citations
11. Exploring Continual Learning of Compositional Generalization in NLITransactions of the Association for Computational Linguistics (TACL)Xiyan Fu, Anette Frank2024 · 5 citations
12. Investigating the Effect of Pre-finetuning BERT Models on NLI Involving PresuppositionsFindings of the Association for Computational LinguisticsJad Kabbara, Jackie Cheung2023 · 2 citations
13. Exploiting Open IE for Deriving Multiple Premises Entailment CorpusRecent Advances in Natural Language Processing (RANLP)Martin Víta, Jakub Klímek2019 · 1 citation

18 more papers of our library cite it; they have no page here yet.

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