Reinforcement Learning for Distantly Supervised Relation Extraction

Reinforcement Learning for Distantly Supervised Relation Extraction

Relation extraction is a task of identifying semantic relations between entity pairs from plain text, which can benefit a lot of AI applications such as knowledge base construction and answer questioning. The distant supervision strategy is introduced to automatically create large-scale training dat...

Full description

Bibliographic Details
Main Authors: Tingting Sun, Chunhong Zhang, Yang Ji, Zheng Hu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Relation extraction
distant supervision
reinforcement learning
noisy label
Online Access:https://ieeexplore.ieee.org/document/8768386/

Internet

https://ieeexplore.ieee.org/document/8768386/

Similar Items