In Layman's Terms: Semi-Open Relation Extraction from Scientific Texts

@inproceedings{Kruiper2020InLT,
  title={In Layman's Terms: Semi-Open Relation Extraction from Scientific Texts},
  author={Ruben Kruiper and Juli{\'a}n F.V. Vincent and Jessica Chen-Burger and Marc P. Y. Desmulliez and Ioannis Konstas},
  booktitle={ACL},
  year={2020}
}
  • Ruben Kruiper, Julián F.V. Vincent, +2 authors Ioannis Konstas
  • Published in ACL 2020
  • Computer Science
  • Information Extraction (IE) from scientific texts can be used to guide readers to the central information in scientific documents. But narrow IE systems extract only a fraction of the information captured, and Open IE systems do not perform well on the long and complex sentences encountered in scientific texts. In this work we combine the output of both types of systems to achieve Semi-Open Relation Extraction, a new task that we explore in the Biology domain. First, we present the Focused Open… CONTINUE READING

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