DTDM: Dynamic Temporal Convolutional Network and Dynamic Multihead Attention for Chinese Named Entity Recognition-Reference-Cited by-同舟云学术

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DTDM: Dynamic Temporal Convolutional Network and Dynamic Multihead Attention for Chinese Named Entity Recognition

Published:2023 Issue: Volume:11 Page:128153-128161
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Huang Yuan¹,Li Yanxia¹^ORCID,Zhang Xiaoyu¹^ORCID

Affiliation:

1. School of Information and Electrical Engineering, Hebei University of Engineering, Handan, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10318116.pdf?arnumber=10318116

Reference33 articles.

1. Bidirectional LSTM-CRF models for sequence tagging;huang;arXiv 1508 01991,2015

2. Portuguese named entity recognition using BERT-CRF;souza;arXiv 1909 10649,2019

3. Towards Chinese clinical named entity recognition by dynamic embedding using domain-specific knowledge

4. Clinical text named entity recognition based on E-CNN and BLSTM-CRF;cao;Appl Res Comput,2019

5. NFLAT: Non-flat-lattice transformer for Chinese named entity recognition;wu;arXiv 2205 05832,2022

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