Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text

@inproceedings{Dalvi2019EverythingHF,
  title={Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text},
  author={Bhavana Dalvi and Niket Tandon and Antoine Bosselut and Wen-tau Yih and Peter Clark},
  booktitle={Conference on Empirical Methods in Natural Language Processing},
  year={2019}
}
Our goal is to better comprehend procedural text, e.g., a paragraph about photosynthesis, by not only predicting what happens, but why some actions need to happen before others. [] Key Method We present our new model (XPAD) that biases effect predictions towards those that (1) explain more of the actions in the paragraph and (2) are more plausible with respect to background knowledge.
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