43 citations · 91 across the 11 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.CL2019★ 5 cited
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
Tianyu Gao, Xu Han, Hao Zhu +4
We present FewRel 2.0, a more challenging task to investigate two aspects of few-shot relation classification models: (1) Can they adapt to a new domain with only a handful of inst…
cs.AI2019
Quantifying Similarity between Relations with Fact Distribution
Weize Chen, Hao Zhu, Xu Han +2
We introduce a conceptually simple and effective method to quantify the similarity between relations in knowledge bases. Specifically, our approach is based on the divergence betwe…
cs.CL2019★ 26 cited
Graph Neural Networks with Generated Parameters for Relation Extraction
Hao Zhu, Yankai Lin, Zhiyuan Liu +3
Recently, progress has been made towards improving relational reasoning in machine learning field. Among existing models, graph neural networks (GNNs) is one of the most effective…