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Mastering commonsense understanding and reasoning is a pivotal skill essential for conducting engaging conversations.
Grounding in communication
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Kappa statistic is not satisfactory for assessing the extent of agreement between raters
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Identification of personal information shared in chat-oriented dialogue
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Comparison of diverse decoding methods from conditional language models
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What information should a dialogue system understand?: Collection and analysis of perceived information in chat-oriented dialogue
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ATOMIC: An atlas of machine commonsense for if-then reasoning
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ComFact: A benchmark for linking contextual commonsense knowledge
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Bertopic: Neural topic modeling with a class-based tf-idf procedure
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Improving bot response contradiction detection via utterance rewriting
Di Jin, Sijia Liu, Yang Liu, and Dilek Hakkani-Tur. 2022 · 2022
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Mind the gap! Injecting commonsense knowledge for abstractive dialogue summarization
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Jian Guan, Fei Huang, Zhihao Zhao, Xiaoyan Zhu, and Minlie Huang. 2020 · 2020
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(Comet-) Atomic 2020: On symbolic and neural commonsense knowledge graphs
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UMAP: Uniform manifold approximation and projection for dimension reduction
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Paragraph-level commonsense transformers with recurrent memory
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Multiview contextual commonsense inference: A new dataset and task
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Symbolic knowledge distillation: From general language models to commonsense models
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Reflect not reflex: Inference-based common ground improves dialogue response quality
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Don’t forget your ABC’s: Evaluating the state-of-the-art in chat-oriented dialogue systems
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SODA: Million-scale dialogue distillation with social commonsense contextualization
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SocialDial: A benchmark for socially-aware dialogue systems
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