Papers with OpenNRE

2 papers
OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction (D19-3)

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Challenge: OpenNRE provides a framework to implement neural relation extraction (RE) . the toolkit provides various functional modules based on TensorFlow and PyTorch .
Approach: OpenNRE is an open-source framework to implement neural relation extraction models. they also release an online system to meet real-time extraction without any training and deployment.
Outcome: OpenNRE provides a framework to implement neural models for relation extraction (RE) the toolkit also includes an online system to meet real-time extraction without training and deployment .
DeepREF: A Framework for Optimized Deep Learning-based Relation Classification (2022.lrec-1)

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Challenge: Existing frameworks for relation extraction (RE) are limited due to lack of implementation details.
Approach: They propose to use deep learning to develop relation extraction systems using deep learning models.
Outcome: The proposed framework is inspired by the OpenNRE and REflex existing frameworks.

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