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

Translated title of the contribution: NCU1415 at ROCLING 2022 Shared Task: A light-weight transformer-based approach for Biomedical Name Entity Recognition

Zhi Quan Feng, Po Kai Chen, Jia Ching Wang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Translated title of the contribution	NCU1415 at ROCLING 2022 Shared Task: A light-weight transformer-based approach for Biomedical Name Entity Recognition
Original language	Chinese (Traditional)
Title of host publication	ROCLING 2022 - Proceedings of the 34th Conference on Computational Linguistics and Speech Processing
Editors	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
Publisher	The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
Pages	316-320
Number of pages	5
ISBN (Electronic)	9789869576956
State	Published - 2022
Event	34th Conference on Computational Linguistics and Speech Processing, ROCLING 2022 - Taipei, Taiwan Duration: 21 Nov 2022 → 22 Nov 2022

Publication series

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

Conference

Conference	34th Conference on Computational Linguistics and Speech Processing, ROCLING 2022
Country/Territory	Taiwan
City	Taipei
Period	21/11/22 → 22/11/22

Cite this

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. In 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 (Eds.), ROCLING 2022 - Proceedings of the 34th Conference on Computational Linguistics and Speech Processing (pp. 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. editor / 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. pp. 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. in 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 (eds), 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), pp. 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. ed. / 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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. In Chang YC, Huang YC, Wu JL, Su MH, Huang HH, Liu YF, Lee LH, Chou CH, Liao YF, editors, 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

Abstract

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