KU_ED at SocialDisNER: Extracting Disease Mentions in Tweets Written in Spanish

Antoine Lain; Wonjin Yoon; Hyunjae Kim; Jaewoo Kang; Ian Simpson

KU_ED at SocialDisNER: Extracting Disease Mentions in Tweets Written in Spanish

Antoine Lain, Wonjin Yoon, Hyunjae Kim, Jaewoo Kang, Ian Simpson

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

Abstract

This paper describes our system developed for the Social Media Mining for Health (SMM4H) 2022 SocialDisNER task. We used several types of pre-trained language models, which are trained on Spanish biomedical literature or Spanish Tweets. We showed the difference in performance depending on the quality of the tokenization as well as introducing silver standard annotations when training the model. Our model obtained a strict F1 of 80.3% on the test set, which is an improvement of +12.8% F1 (24.6 std) over the average results across all submissions to the SocialDisNER challenge.

Original language	English
Title of host publication	Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop Shared Task
Editors	Graciela Gonzalez-Hernandez, Davy Weissenbacher
Place of Publication	Gyeongju, Republic of Korea
Publisher	Association for Computational Linguistics
Pages	78-80
Number of pages	3
Publication status	Published - 11 Oct 2022
Event	The 7th Workshop on Social Media Mining for Health Applications, 2022 - Gyeongju, Korea, Republic of Duration: 16 Oct 2022 → 17 Oct 2022 Conference number: 7 https://healthlanguageprocessing.org/smm4h-2022/

Publication series

Name	COLING 2022 - The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task
Publisher	Association for Computational Linguistics
Number	18
Volume	29
ISSN (Electronic)	2951-2093

Workshop

Workshop	The 7th Workshop on Social Media Mining for Health Applications, 2022
Abbreviated title	SMM4H 2022
Country/Territory	Korea, Republic of
City	Gyeongju
Period	16/10/22 → 17/10/22
Internet address	https://healthlanguageprocessing.org/smm4h-2022/

Access to Document

KUED_LAIN_DOA07092022_VOR_CC-BYFinal published version, 142 KBLicence: Creative Commons: Attribution (CC-BY)

https://aclanthology.org/2022.smm4h-1.23Licence: Creative Commons: Attribution (CC-BY)

Cite this

Lain, A., Yoon, W., Kim, H., Kang, J., & Simpson, I. (2022). KU_ED at SocialDisNER: Extracting Disease Mentions in Tweets Written in Spanish. In G. Gonzalez-Hernandez, & D. Weissenbacher (Eds.), Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop Shared Task (pp. 78-80). (COLING 2022 - The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task; Vol. 29, No. 18). Association for Computational Linguistics. https://aclanthology.org/2022.smm4h-1.23

Lain, Antoine ; Yoon, Wonjin ; Kim, Hyunjae et al. / KU_ED at SocialDisNER: Extracting Disease Mentions in Tweets Written in Spanish. Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop Shared Task. editor / Graciela Gonzalez-Hernandez ; Davy Weissenbacher. Gyeongju, Republic of Korea : Association for Computational Linguistics, 2022. pp. 78-80 (COLING 2022 - The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task; 18).

@inproceedings{46359870f0774b3a86ea8298022c9254,

title = "KU_ED at SocialDisNER: Extracting Disease Mentions in Tweets Written in Spanish",

abstract = "This paper describes our system developed for the Social Media Mining for Health (SMM4H) 2022 SocialDisNER task. We used several types of pre-trained language models, which are trained on Spanish biomedical literature or Spanish Tweets. We showed the difference in performance depending on the quality of the tokenization as well as introducing silver standard annotations when training the model. Our model obtained a strict F1 of 80.3% on the test set, which is an improvement of +12.8% F1 (24.6 std) over the average results across all submissions to the SocialDisNER challenge.",

author = "Antoine Lain and Wonjin Yoon and Hyunjae Kim and Jaewoo Kang and Ian Simpson",

year = "2022",

month = oct,

day = "11",

language = "English",

series = "COLING 2022 - The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task",

publisher = "Association for Computational Linguistics",

number = "18",

pages = "78--80",

editor = "Graciela Gonzalez-Hernandez and Davy Weissenbacher",

booktitle = "Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop Shared Task",

note = "The 7th Workshop on Social Media Mining for Health Applications, 2022, SMM4H 2022 ; Conference date: 16-10-2022 Through 17-10-2022",

url = "https://healthlanguageprocessing.org/smm4h-2022/",

}

Lain, A, Yoon, W, Kim, H, Kang, J & Simpson, I 2022, KU_ED at SocialDisNER: Extracting Disease Mentions in Tweets Written in Spanish. in G Gonzalez-Hernandez & D Weissenbacher (eds), Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop Shared Task. COLING 2022 - The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task, no. 18, vol. 29, Association for Computational Linguistics, Gyeongju, Republic of Korea, pp. 78-80, The 7th Workshop on Social Media Mining for Health Applications, 2022, Gyeongju, Korea, Republic of, 16/10/22. <https://aclanthology.org/2022.smm4h-1.23>

KU_ED at SocialDisNER: Extracting Disease Mentions in Tweets Written in Spanish. / Lain, Antoine; Yoon, Wonjin; Kim, Hyunjae et al.
Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop Shared Task. ed. / Graciela Gonzalez-Hernandez; Davy Weissenbacher. Gyeongju, Republic of Korea: Association for Computational Linguistics, 2022. p. 78-80 (COLING 2022 - The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task; Vol. 29, No. 18).

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

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T1 - KU_ED at SocialDisNER: Extracting Disease Mentions in Tweets Written in Spanish

AU - Lain, Antoine

AU - Yoon, Wonjin

AU - Kim, Hyunjae

AU - Kang, Jaewoo

AU - Simpson, Ian

N1 - Conference code: 7

PY - 2022/10/11

Y1 - 2022/10/11

N2 - This paper describes our system developed for the Social Media Mining for Health (SMM4H) 2022 SocialDisNER task. We used several types of pre-trained language models, which are trained on Spanish biomedical literature or Spanish Tweets. We showed the difference in performance depending on the quality of the tokenization as well as introducing silver standard annotations when training the model. Our model obtained a strict F1 of 80.3% on the test set, which is an improvement of +12.8% F1 (24.6 std) over the average results across all submissions to the SocialDisNER challenge.

AB - This paper describes our system developed for the Social Media Mining for Health (SMM4H) 2022 SocialDisNER task. We used several types of pre-trained language models, which are trained on Spanish biomedical literature or Spanish Tweets. We showed the difference in performance depending on the quality of the tokenization as well as introducing silver standard annotations when training the model. Our model obtained a strict F1 of 80.3% on the test set, which is an improvement of +12.8% F1 (24.6 std) over the average results across all submissions to the SocialDisNER challenge.

M3 - Conference contribution

T3 - COLING 2022 - The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task

SP - 78

EP - 80

BT - Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop Shared Task

A2 - Gonzalez-Hernandez, Graciela

A2 - Weissenbacher, Davy

PB - Association for Computational Linguistics

CY - Gyeongju, Republic of Korea

T2 - The 7th Workshop on Social Media Mining for Health Applications, 2022

Y2 - 16 October 2022 through 17 October 2022

ER -

Lain A, Yoon W, Kim H, Kang J, Simpson I. KU_ED at SocialDisNER: Extracting Disease Mentions in Tweets Written in Spanish. In Gonzalez-Hernandez G, Weissenbacher D, editors, Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, Workshop Shared Task. Gyeongju, Republic of Korea: Association for Computational Linguistics. 2022. p. 78-80. (COLING 2022 - The Seventh Workshop on Social Media Mining for Health Applications, Workshop & Shared Task; 18).

KU_ED at SocialDisNER: Extracting Disease Mentions in Tweets Written in Spanish

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