21 citations · 26 across the 2 of their papers we have counts for
4 papers
Improving Neural Relation Extraction with Positive and Unlabeled Learning
Zhengqiu He, Wenliang Chen, Yuyi Wang +3
We present a novel approach to improve the performance of distant supervision relation extraction with Positive and Unlabeled (PU) Learning. This approach first applies reinforceme…
CCKS 2019 Shared Task on Inter-Personal Relationship Extraction
Haitao Wang, Zhengqiu He, Tong Zhu +3
The CCKS2019 shared task was devoted to inter-personal relationship extraction. Given two person entities and at least one sentence containing these two entities, participating tea…
IPRE: a Dataset for Inter-Personal Relationship Extraction
Haitao Wang, Zhengqiu He, Jin Ma +2
Inter-personal relationship is the basis of human society. In order to automatically identify the relations between persons from texts, we need annotated data for training systems.…
SEE: Syntax-aware Entity Embedding for Neural Relation Extraction
Zhengqiu He, Wenliang Chen, Zhenghua Li +3
Distant supervised relation extraction is an efficient approach to scale relation extraction to very large corpora, and has been widely used to find novel relational facts from pla…