OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction

IJCNLP 2019 Xu HanTianyu GaoYuan YaoDemin YeZhiyuan LiuMaosong Sun

OpenNRE is an open-source and extensible toolkit that provides a unified framework to implement neural models for relation extraction (RE). Specifically, by implementing typical RE methods, OpenNRE not only allows developers to train custom models to extract structured relational facts from the plain text but also supports quick model validation for researchers... (read more)

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