Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme

@inproceedings{Zheng2017JointEO,
  title={Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme},
  author={Suncong Zheng and Feng Wang and Hongyun Bao and Yuexing Hao and Peng Zhou and Bo Xu},
  booktitle={ACL},
  year={2017}
}
Joint extraction of entities and relations is an important task in information extraction. To tackle this problem, we firstly propose a novel tagging scheme that can convert the joint extraction task to a tagging problem. Then, based on our tagging scheme, we study different end-toend models to extract entities and their relations directly, without identifying entities and relations separately. We conduct experiments on a public dataset produced by distant supervision method and the… CONTINUE READING

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