Entity relationship extraction model based on entity information enhancement
Author:
Affiliation:
1. Zhengzhou University,School of Cyber Science and Engineering,Zhengzhou,China
2. Information Engineering,Strategic Support Force,Zhengzhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9985779/9985780/09985876.pdf?arnumber=9985876
Reference14 articles.
1. Joint extraction method of Chinese entity relations based on mixture of characters and words[J];ge;Computer Application Research,2021
2. A Survey on Deep Learning for Named Entity Recognition[J];li;IEEE Transactions on Knowledge and Data Engineering,2020
3. Joint entity and relationship extraction model based on mixed networks[J];jiang;Guilin University of Electronic Technology,2022
4. TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking
5. A Novel Cascade Binary Tagging Framework for Relational Triple Extraction
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