ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning

@article{Sap2018ATOMICAA,
  title={ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning},
  author={Maarten Sap and Ronan J. LeBras and Emily Allaway and Chandra Bhagavatula and Nicholas Lourie and Hannah Rashkin and Brendan Roof and Noah A. Smith and Yejin Choi},
  journal={CoRR},
  year={2018},
  volume={abs/1811.00146}
}
We present ATOMIC, an atlas of everyday commonsense reasoning, organized through 877k textual descriptions of inferential knowledge. Compared to existing resources that center around taxonomic knowledge, ATOMIC focuses on inferential knowledge organized as typed if-then relations with variables (e.g., “if X pays Y a compliment, then Y will likely return the compliment”). We propose nine if-then relation types to distinguish causes vs. effects, agents vs. themes, voluntary vs. involuntary events… CONTINUE READING
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