Overview of Relation Extraction
Author:
Affiliation:
1. Cyberspace Security Academy, Zhengzhou University,Zhengzhou,China,450001
2. PLA Strategic Support Force Information Engineering University,Zhengzhou,China,450002
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10013311/10013093/10013099.pdf?arnumber=10013099
Reference58 articles.
1. Improving distantly supervised relation extraction using word and entity based attention;jat;ArXiv Preprint,2018
2. Neural Relation Extraction with Selective Attention over Instances
3. Classifying Relations by Ranking with Convolutional Neural Networks
4. Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme
5. Going out on a limb: Joint Extraction of Entity Mentions and Relations without Dependency Trees
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