“I’m Not Mad”: Commonsense Implications of Negation and Contradiction
“I’m Not Mad”: Commonsense Implications of Negation and Contradiction
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“我没疯”：否定和矛盾的常识含义
DOI：
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Yejin Choi
中科院分区：
文献类型：
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作者：
Liwei Jiang;Antoine Bosselut;Chandra Bhagavatula;Yejin Choi
自然的推论需要关于矛盾，谈判及其常识的含义的推理。我不生气”）矛盾（“我很高兴”）。暗示“我对某事感到不满意”，这不一定会否定本文的相应含义。然后，以624K的态度进行了否定和矛盾的事件的规则。
Natural language inference requires reasoning about contradictions, negations, and their commonsense implications. Given a simple premise (e.g., “I’m mad at you”), humans can reason about the varying shades of contradictory statements ranging from straightforward negations (“I’m not mad at you”) to commonsense contradictions (“I’m happy”). Moreover, these negated or contradictory statements shift the commonsense implications of the original premise in interesting and nontrivial ways. For example, while “I’m mad” implies “I’m unhappy about something,” negating the premise does not necessarily negate the corresponding commonsense implications. In this paper, we present the first comprehensive study focusing on commonsense implications of negated statements and contradictions. We introduce ANION, a new commonsense knowledge graph with 624K if-then rules focusing on negated and contradictory events. We then present joint generative and discriminative inference models for this new resource, providing novel empirical insights on how logical negations and commonsense contradictions reshape the commonsense implications of their original premises.
零样本常识问答的动态神经符号知识图构建
DOI：
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发表时间：
2020
期刊：
The Thirty-Fifth AAAI Conference on Artificial Intelligence
影响因子：
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作者：
Bosselut, Antoine;Le Bras, Ronan;Choi, Yejin
通讯作者：
Choi, Yejin
DOI：
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发表时间：
2020-10
期刊：
ArXiv
影响因子：
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作者：
Hongyu Ren;J. Leskovec
通讯作者：
Hongyu Ren;J. Leskovec
这不是一个没有问题的问题：否定是机器翻译错误的根源
DOI：
10.18653/v1/2020.findings-emnlp.345
发表时间：
2020
期刊：
Findings of the Association for Computational Linguistics: EMNLP 2020
影响因子：
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作者：
Hossain, Md Mosharaf;Anastasopoulos, Antonios;Blanco, Eduardo;Palmer, Alexis
通讯作者：
Palmer, Alexis