Joint extraction of entities and relations based on character graph convolutional network and Multi-Head Self-Attention Mechanism
Author:
Affiliation:
1. School of Software, Xinjiang University, Urumqi, China
2. Network Center, Xinjiang University, Urumqi, China
3. School of Information Science and Engineering, Xinjiang University, Urumqi, China
Funder
The National Natural Science Foundation of China
Xinjiang Uygur Autonomous Region Scientific and Technological Personnel Training Project
Xinjiang Tianshan Youth Project
Research and Innovation Project of Postgraduate in Autonomous Region
The Key Project of National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Artificial Intelligence,Theoretical Computer Science,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2020.1744198
Reference30 articles.
1. Unsupervised entity and relation extraction from clinical records in Italian
2. Joint entity recognition and relation extraction as a multi-head selection problem
3. LocText: relation extraction of protein localizations to assist database curation
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