Employing Lexicalized Dependency Paths for Active Learning of Relation Extraction-Reference-Cited by-同舟云学术

Employing Lexicalized Dependency Paths for Active Learning of Relation Extraction

Author:

Sun Huiyu,Grishman Ralph

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

Reference36 articles.

1. Dependency-driven relation extraction with attentive graph convolutional networks;Tian,2021

2. How knowledge graph and attention help? A quantitative analysis into bag-level relation extraction;Hu,2021

3. Gradient imitation reinforcement learning for low resource relation extraction;Hu,2021

4. Synchronous dual network with cross-type attention for joint entity and relation extraction;Wu,2021

5. Exploiting the syntax-model consistency for neural relation extraction;Veyseh,2020

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3. NREE: Nested Relation Extraction in the Economic Field;2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS);2023-12-17

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