基於 Transformer 的生醫輕量化命名實體識別系統

Zhi Quan Feng; Po Kai Chen; Jia Ching Wang

基於 Transformer 的生醫輕量化命名實體識別系統

Zhi Quan Feng, Po Kai Chen, Jia Ching Wang

研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

1 引文斯高帕斯（Scopus）

摘要

Name Entity Recognition (NER) is a very important and basic task in traditional NLP tasks. In the biomedical field, NER tasks have been widely used in various products developed by various manufacturers. These include parsing, QA system, key information extraction or replacement in dialogue systems, and the practical application of knowledge parsing. In different fields, including bio-medicine, communication technology, e-commerce etc., NER technology is needed to identify drugs, diseases, commodities and other objects. This implementation focuses on the CLING 2022 SHARED TASK's(Lee et al. 2022) NER TASK in biomedical field, with a bit of tuning and experimentation based on the language models.

貢獻的翻譯標題	NCU1415 at ROCLING 2022 Shared Task: A light-weight transformer-based approach for Biomedical Name Entity Recognition
原文	繁體中文
主出版物標題	ROCLING 2022 - Proceedings of the 34th Conference on Computational Linguistics and Speech Processing
編輯	Yung-Chun Chang, Yi-Chin Huang, Jheng-Long Wu, Ming-Hsiang Su, Hen-Hsen Huang, Yi-Fen Liu, Lung-Hao Lee, Chin-Hung Chou, Yuan-Fu Liao
發行者	The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
頁面	316-320
頁數	5
ISBN（電子）	9789869576956
出版狀態	已出版 - 2022
事件	34th Conference on Computational Linguistics and Speech Processing, ROCLING 2022 - Taipei, Taiwan 持續時間: 21 11月 2022 → 22 11月 2022

出版系列

名字	ROCLING 2022 - Proceedings of the 34th Conference on Computational Linguistics and Speech Processing

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	34th Conference on Computational Linguistics and Speech Processing, ROCLING 2022
國家/地區	Taiwan
城市	Taipei
期間	21/11/22 → 22/11/22

Keywords

Biomedical Science
Name Entity Recognition
ROCLING 2022 Shared Task

引用此

Feng, Z. Q., Chen, P. K., & Wang, J. C. (2022). 基於 Transformer 的生醫輕量化命名實體識別系統. 於 Y.-C. Chang, Y.-C. Huang, J.-L. Wu, M.-H. Su, H.-H. Huang, Y.-F. Liu, L.-H. Lee, C.-H. Chou, & Y.-F. Liao (編輯), ROCLING 2022 - Proceedings of the 34th Conference on Computational Linguistics and Speech Processing (頁 316-320). (ROCLING 2022 - Proceedings of the 34th Conference on Computational Linguistics and Speech Processing). The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).

Feng, Zhi Quan ; Chen, Po Kai ; Wang, Jia Ching. / 基於 Transformer 的生醫輕量化命名實體識別系統. ROCLING 2022 - Proceedings of the 34th Conference on Computational Linguistics and Speech Processing. 編輯 / Yung-Chun Chang ; Yi-Chin Huang ; Jheng-Long Wu ; Ming-Hsiang Su ; Hen-Hsen Huang ; Yi-Fen Liu ; Lung-Hao Lee ; Chin-Hung Chou ; Yuan-Fu Liao. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), 2022. 頁 316-320 (ROCLING 2022 - Proceedings of the 34th Conference on Computational Linguistics and Speech Processing).

@inproceedings{630297ee6f9a4382ac1cb88101de1e3a,

title = "基於 Transformer 的生醫輕量化命名實體識別系統",

abstract = "Name Entity Recognition (NER) is a very important and basic task in traditional NLP tasks. In the biomedical field, NER tasks have been widely used in various products developed by various manufacturers. These include parsing, QA system, key information extraction or replacement in dialogue systems, and the practical application of knowledge parsing. In different fields, including bio-medicine, communication technology, e-commerce etc., NER technology is needed to identify drugs, diseases, commodities and other objects. This implementation focuses on the CLING 2022 SHARED TASK's(Lee et al. 2022) NER TASK in biomedical field, with a bit of tuning and experimentation based on the language models.",

keywords = "Biomedical Science, Name Entity Recognition, ROCLING 2022 Shared Task",

author = "Feng, {Zhi Quan} and Chen, {Po Kai} and Wang, {Jia Ching}",

note = "Publisher Copyright: {\textcopyright} 2022 the Association for Computational Linguistics and Chinese Language Processing (ACLCLP).; 34th Conference on Computational Linguistics and Speech Processing, ROCLING 2022 ; Conference date: 21-11-2022 Through 22-11-2022",

year = "2022",

language = "繁體中文",

series = "ROCLING 2022 - Proceedings of the 34th Conference on Computational Linguistics and Speech Processing",

publisher = "The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)",

pages = "316--320",

editor = "Yung-Chun Chang and Yi-Chin Huang and Jheng-Long Wu and Ming-Hsiang Su and Hen-Hsen Huang and Yi-Fen Liu and Lung-Hao Lee and Chin-Hung Chou and Yuan-Fu Liao",

booktitle = "ROCLING 2022 - Proceedings of the 34th Conference on Computational Linguistics and Speech Processing",

}

Feng, ZQ, Chen, PK & Wang, JC 2022, 基於 Transformer 的生醫輕量化命名實體識別系統. 於 Y-C Chang, Y-C Huang, J-L Wu, M-H Su, H-H Huang, Y-F Liu, L-H Lee, C-H Chou & Y-F Liao (編輯), ROCLING 2022 - Proceedings of the 34th Conference on Computational Linguistics and Speech Processing. ROCLING 2022 - Proceedings of the 34th Conference on Computational Linguistics and Speech Processing, The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), 頁 316-320, 34th Conference on Computational Linguistics and Speech Processing, ROCLING 2022, Taipei, Taiwan, 21/11/22.

基於 Transformer 的生醫輕量化命名實體識別系統. / Feng, Zhi Quan; Chen, Po Kai; Wang, Jia Ching.
ROCLING 2022 - Proceedings of the 34th Conference on Computational Linguistics and Speech Processing. 編輯 / Yung-Chun Chang; Yi-Chin Huang; Jheng-Long Wu; Ming-Hsiang Su; Hen-Hsen Huang; Yi-Fen Liu; Lung-Hao Lee; Chin-Hung Chou; Yuan-Fu Liao. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP), 2022. p. 316-320 (ROCLING 2022 - Proceedings of the 34th Conference on Computational Linguistics and Speech Processing).

研究成果: 書貢獻/報告類型 › 會議論文篇章 › 同行評審

TY - GEN

T1 - 基於 Transformer 的生醫輕量化命名實體識別系統

AU - Feng, Zhi Quan

AU - Chen, Po Kai

AU - Wang, Jia Ching

PY - 2022

Y1 - 2022

N2 - Name Entity Recognition (NER) is a very important and basic task in traditional NLP tasks. In the biomedical field, NER tasks have been widely used in various products developed by various manufacturers. These include parsing, QA system, key information extraction or replacement in dialogue systems, and the practical application of knowledge parsing. In different fields, including bio-medicine, communication technology, e-commerce etc., NER technology is needed to identify drugs, diseases, commodities and other objects. This implementation focuses on the CLING 2022 SHARED TASK's(Lee et al. 2022) NER TASK in biomedical field, with a bit of tuning and experimentation based on the language models.

AB - Name Entity Recognition (NER) is a very important and basic task in traditional NLP tasks. In the biomedical field, NER tasks have been widely used in various products developed by various manufacturers. These include parsing, QA system, key information extraction or replacement in dialogue systems, and the practical application of knowledge parsing. In different fields, including bio-medicine, communication technology, e-commerce etc., NER technology is needed to identify drugs, diseases, commodities and other objects. This implementation focuses on the CLING 2022 SHARED TASK's(Lee et al. 2022) NER TASK in biomedical field, with a bit of tuning and experimentation based on the language models.

KW - Biomedical Science

KW - Name Entity Recognition

KW - ROCLING 2022 Shared Task

UR - http://www.scopus.com/inward/record.url?scp=85154537935&partnerID=8YFLogxK

M3 - 會議論文篇章

AN - SCOPUS:85154537935

T3 - ROCLING 2022 - Proceedings of the 34th Conference on Computational Linguistics and Speech Processing

SP - 316

EP - 320

BT - ROCLING 2022 - Proceedings of the 34th Conference on Computational Linguistics and Speech Processing

A2 - Chang, Yung-Chun

A2 - Huang, Yi-Chin

A2 - Wu, Jheng-Long

A2 - Su, Ming-Hsiang

A2 - Huang, Hen-Hsen

A2 - Liu, Yi-Fen

A2 - Lee, Lung-Hao

A2 - Chou, Chin-Hung

A2 - Liao, Yuan-Fu

PB - The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)

T2 - 34th Conference on Computational Linguistics and Speech Processing, ROCLING 2022

Y2 - 21 November 2022 through 22 November 2022

ER -

Feng ZQ, Chen PK, Wang JC. 基於 Transformer 的生醫輕量化命名實體識別系統. 於 Chang YC, Huang YC, Wu JL, Su MH, Huang HH, Liu YF, Lee LH, Chou CH, Liao YF, 編輯, ROCLING 2022 - Proceedings of the 34th Conference on Computational Linguistics and Speech Processing. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP). 2022. p. 316-320. (ROCLING 2022 - Proceedings of the 34th Conference on Computational Linguistics and Speech Processing).

基於 Transformer 的生醫輕量化命名實體識別系統

摘要

出版系列

???event.eventtypes.event.conference???

Keywords

指紋

引用此