Dependency syntax guided BERT-BiLSTM-GAM-CRF for Chinese NER

作者：

Highlights：

• Proposing a deep learning model to complete Chinese NER task.

• Exploiting a new method to capture the long-distance dependency between words.

• Combining semantic and syntactic information of words to solve polysemy problem.

• Demonstrating the model’s excellent performance in Chinese NER task.

摘要

•Proposing a deep learning model to complete Chinese NER task.•Exploiting a new method to capture the long-distance dependency between words.•Combining semantic and syntactic information of words to solve polysemy problem.•Demonstrating the model’s excellent performance in Chinese NER task.

论文关键词：Name entity recognition,Deep learning,Dependency syntactic parsing,BiLSTM,Attention mechanism

论文评审过程：Received 31 October 2021, Revised 8 February 2022, Accepted 13 February 2022, Available online 17 February 2022, Version of Record 20 February 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116682