11 citations · 26 across the 10 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CL2019★ 5 cited
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…
cs.CL2019★ 1 cited
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…
cs.CL2019★ 2 cited
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.…