2019 · 707 citations · 13 references
ComputingComputer ScienceArtificial IntelligenceMachine LearningNatural Language ProcessingCommonsense ReasoningLanguage ModelingLanguage ModelsNatural Language GenerationNatural Language UnderstandingQuestion AnsweringAdversarial ExamplesAdversarial Question AnsweringCommonsense Natural Language InferenceCommonsense Question AnsweringCommonsense Reasoning In DialogueNatural Language InferenceNeural Language ModelsQuestion Answering Systems
introduced a new task of commonsense natural language inference: given an event description such as "A woman sits at a piano," a machine must select the most likely followup: "She sets her fingers on the keys." With the introduction of BERT (Devlin et al., 2018), near human-level performance was reached. Does this mean that machines can perform human level commonsense inference?
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Samuel Williams, Andrew Waterman, David A. Patterson · Communications of the ACM · 2009 · 2.4K citations · Full text
Yukun Zhu, Ryan Kiros, Rich Zemel et al. · 2015 · 2.1K citations · Full text
Adversarial Examples for Evaluating Reading Comprehension Systems
Robin Jia, Percy Liang · 2017 · 1.3K citations · Full text
Enhanced LSTM for Natural Language Inference
Qian Chen, Xiaodan Zhu, Zhen-Hua Ling et al. · 2017 · 1.2K citations · Full text