Be Consistent! Improving Procedural Text Comprehension using Label Consistency

@article{Du2019BeCI,
  title={Be Consistent! Improving Procedural Text Comprehension using Label Consistency},
  author={Xinya Du and Bhavana Dalvi Mishra and Niket Tandon and Antoine Bosselut and Wen-tau Yih and Peter Clark and Claire Cardie},
  journal={ArXiv},
  year={2019},
  volume={abs/1906.08942}
}
Our goal is procedural text comprehension, namely tracking how the properties of entities (e.g., their location) change with time given a procedural text (e.g., a paragraph about photosynthesis, a recipe). This task is challenging as the world is changing throughout the text, and despite recent advances, current systems still struggle with this task. Our approach is to leverage the fact that, for many procedural texts, multiple independent descriptions are readily available, and that… CONTINUE READING

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