Pronounce differently, mean differently: A multi-tagging-scheme learning method for Chinese NER integrated with lexicon and phonetic features-Reference-Cited by-同舟云学术

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Pronounce differently, mean differently: A multi-tagging-scheme learning method for Chinese NER integrated with lexicon and phonetic features

Published:2022-09 Issue:5 Volume:59 Page:103041
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Mai Chengcheng^ORCID,Liu Jian^ORCID,Qiu Mengchuan,Luo Kaiwen^ORCID,Peng Ziyan^ORCID,Yuan Chunfeng,Huang Yihua^ORCID

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference57 articles.

1. Pooled contextualized embeddings for named entity recognition;Akbik,2019

2. Adversarial transfer learning for Chinese named entity recognition with self-attention mechanism;Cao,2018

3. Faithful to the original: Fact aware neural abstractive summarization;Cao,2018

4. Named entity recognition with bidirectional LSTM-CNNs;Chiu;Transactions of the Association for Computational Linguistics,2016

5. Natural language processing (almost) from scratch;Collobert;Journal of Machine Learning Research,2011

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2. Multi-level semantic enhancement based on self-distillation BERT for Chinese named entity recognition;Neurocomputing;2024-06

3. DAE-NER: Dual-channel attention enhancement for Chinese named entity recognition;Computer Speech & Language;2024-04

4. EPIC: An epidemiological investigation of COVID-19 dataset for Chinese named entity recognition;Information Processing & Management;2024-01

5. MC-TCMNER: A Multi-modal Fusion Model Combining Contrast Learning Method for Traditional Chinese Medicine NER;Lecture Notes in Computer Science;2024

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