Corpus ID: 211097053

Hybrid Neural Tagging Model for Open Relation Extraction.

@article{Jia2020HybridNT,
  title={Hybrid Neural Tagging Model for Open Relation Extraction.},
  author={Shengbin Jia and Yang Xiang},
  journal={arXiv: Computation and Language},
  year={2020}
}
Open relation extraction (ORE) remains a challenge to obtain a semantic representation by discovering arbitrary relation tuples from the unstructured text. Conventional methods heavily depend on feature engineering or syntactic parsing, they are inefficient or error-cascading. Recently, leveraging supervised deep learning structures to address the ORE task is an extraordinarily promising way. However, there are two main challenges: (1) The lack of enough labeled corpus to support supervised… Expand
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