Hybrid neural tagging model for open relation extraction

作者：

Highlights：

• We complete Open relation extraction task by the overlap-aware sequence tagging.

• We propose a Hybrid neural network model with the Dual Aware Mechanism.

• We automatically build a large-scale, high-quality corpus of open relation.

• Experiments show that our model achieves state-of-the-art performance.

摘要

•We complete Open relation extraction task by the overlap-aware sequence tagging.•We propose a Hybrid neural network model with the Dual Aware Mechanism.•We automatically build a large-scale, high-quality corpus of open relation.•Experiments show that our model achieves state-of-the-art performance.

论文关键词：Open relation extraction,Neural sequence tagging,Syntactics,Supervised,Corpus

论文评审过程：Received 21 April 2020, Revised 24 October 2021, Accepted 18 March 2022, Available online 26 March 2022, Version of Record 4 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116951