Reasoning about Actions and State Changes by Injecting Commonsense Knowledge

@inproceedings{Tandon2018ReasoningAA,
  title={Reasoning about Actions and State Changes by Injecting Commonsense Knowledge},
  author={Niket Tandon and Bhavana Dalvi and Joel Grus and Wen-tau Yih and Antoine Bosselut and Peter Clark},
  booktitle={EMNLP},
  year={2018}
}
Comprehending procedural text, e.g., a paragraph describing photosynthesis, requires modeling actions and the state changes they produce, so that questions about entities at different timepoints can be answered. [...] Key Method Unlike earlier methods, we treat the problem as a neural structured prediction task, allowing hard and soft constraints to steer the model away from unlikely predictions. We show that the new model significantly outperforms earlier systems on a benchmark dataset for procedural text…Expand Abstract

Citations

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Be Consistent! Improving Procedural Text Comprehension using Label Consistency

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Step Semantics : Representations for State Changes in Natural Language

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CITES RESULTS & METHODS
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