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OpenNRE is an open-source and extensible toolkit that provides a unifiedframework to implement neural models for relation extraction (RE).Specifically, by implementing typical RE methods, OpenNRE not only allowsdevelopers to train custom models to extract structured relational facts fromthe plain text but also supports quick model validation for researchers.Besides, OpenNRE provides various functional RE modules based on bothTensorFlow and PyTorch to maintain sufficient modularity and extensibility,making it becomes easy to incorporate new models into the framework. Besidesthe toolkit, we also release an online system to meet real-time extractionwithout any training and deploying. Meanwhile, the online system can extractfacts in various scenarios as well as aligning the extracted facts to Wikidata,which may benefit various downstream knowledge-driven applications (e.g.,information retrieval and question answering). More details of the toolkit andonline system can be obtained from http://github.com/thunlp/OpenNRE.

OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction