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Surface Form Competition: Why the Highest Probability Answer Isn't Always Right.

, , , , and . EMNLP (1), page 7038-7051. Association for Computational Linguistics, (2021)

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Evaluating Text GANs as Language Models., , , and . CoRR, (2018)Surface Form Competition: Why the Highest Probability Answer Isn't Always Right., , , , and . EMNLP (1), page 7038-7051. Association for Computational Linguistics, (2021)Olive Oil is Made., and . NAACL-HLT (2), page 218-224. Association for Computational Linguistics, (2018)Learning Antonyms with Paraphrases and a Morphology-Aware Neural Network., , , and . *SEM, page 12-21. Association for Computational Linguistics, (2017)A Systematic Comparison of English Noun Compound Representations.. MWE-WN@ACL, page 92-103. Association for Computational Linguistics, (2019)From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models., , , , and . EMNLP, page 6763-6782. Association for Computational Linguistics, (2024)COMET-M: Reasoning about Multiple Events in Complex Sentences., , and . EMNLP (Findings), page 12921-12937. Association for Computational Linguistics, (2023)SemEval-2018 Task 9: Hypernym Discovery., , , , , , , , and . SemEval@NAACL-HLT, page 712-724. Association for Computational Linguistics, (2018)Do Neural Language Models Overcome Reporting Bias?, and . COLING, page 6863-6870. International Committee on Computational Linguistics, (2020)Uncovering Implicit Gender Bias in Narratives through Commonsense Inference., , , and . EMNLP (Findings), page 3866-3873. Association for Computational Linguistics, (2021)