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Towards Debiasing NLU Models from Unknown Biases.

, , and . EMNLP (1), page 7597-7610. Association for Computational Linguistics, (2020)

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Towards Debiasing NLU Models from Unknown Biases., , and . EMNLP (1), page 7597-7610. Association for Computational Linguistics, (2020)Improving Generalization by Incorporating Coverage in Natural Language Inference., , , and . CoRR, (2019)Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization., , , and . NAACL-HLT, page 2763-2776. Association for Computational Linguistics, (2022)Towards Interactive Data Exploration., , , , , , , , , and 12 other author(s). BIRTE (Revised Selected Papers), volume 337 of Lecture Notes in Business Information Processing, page 177-190. Springer, (2017)IMPLI: Investigating NLI Models' Performance on Figurative Language., , and . ACL (1), page 5375-5388. Association for Computational Linguistics, (2022)Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning., , , and . EMNLP (1), page 9063-9074. Association for Computational Linguistics, (2021)Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference., , , , and . ACL (1), page 2214-2220. Association for Computational Linguistics, (2019)Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures., , , and . CoRR, (2020)DBPal: Weak Supervision for Learning a Natural Language Interface to Databases., , , , , , , , , and 2 other author(s). CoRR, (2019)DBPal: A Fully Pluggable NL2SQL Training Pipeline., , , , , , , , , and 2 other author(s). SIGMOD Conference, page 2347-2361. ACM, (2020)