Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks

no code implementations • NAACL 2019 • Ningyu Zhang, Shumin Deng, Zhanlin Sun, Guanying Wang, Xi Chen, Wei zhang, Huajun Chen

Here, the challenge is to learn accurate "few-shot" models for classes existing at the tail of the class distribution, for which little data is available.

Knowledge Graph Embeddings Relation +1

Label-Free Distant Supervision for Relation Extraction via Knowledge Graph Embedding

no code implementations • EMNLP 2018 • Guanying Wang, Wen Zhang, Ruoxu Wang, Yalin Zhou, Xi Chen, Wei zhang, Hai Zhu, Huajun Chen

This paper proposes a label-free distant supervision method, which makes no use of the relation labels under this inadequate assumption, but only uses the prior knowledge derived from the KG to supervise the learning of the classifier directly and softly.

Knowledge Graph Embedding Relation +3