ULD-NUIG at Social Media Mining for Health Applications (#SMM4H) Shared Task 2021

Atul Kr. Ojha, Priya Rani, Koustava Goswami, Bharathi Raja Chakravarthi, John P. McCrae

Abstract
Social media platforms such as Twitter and Facebook have been utilised for various research studies, from the cohort-level discussion to community-driven approaches to address the challenges in utilizing social media data for health, clinical and biomedical information. Detection of medical jargon’s, named entity recognition, multi-word expression becomes the primary, fundamental steps in solving those challenges. In this paper, we enumerate the ULD-NUIG team’s system, designed as part of Social Media Mining for Health Applications (#SMM4H) Shared Task 2021. The team conducted a series of experiments to explore the challenges of task 6 and task 5. The submitted systems achieve F-1 0.84 and 0.53 score for task 6 and 5 respectively.
Anthology ID:
2021.smm4h-1.33
Volume:
Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task
Month:
June
Year:
2021
Address:
Mexico City, Mexico
Editors:
Arjun Magge, Ari Klein, Antonio Miranda-Escalada, Mohammed Ali Al-garadi, Ilseyar Alimova, Zulfat Miftahutdinov, Eulalia Farre-Maduell, Salvador Lima Lopez, Ivan Flores, Karen O'Connor, Davy Weissenbacher, Elena Tutubalina, Abeed Sarker, Juan M Banda, Martin Krallinger, Graciela Gonzalez-Hernandez
Venue:
SMM4H
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
149–152
Language:
URL:
https://aclanthology.org/2021.smm4h-1.33
DOI:
10.18653/v1/2021.smm4h-1.33
Bibkey:
Cite (ACL):
Atul Kr. Ojha, Priya Rani, Koustava Goswami, Bharathi Raja Chakravarthi, and John P. McCrae. 2021. ULD-NUIG at Social Media Mining for Health Applications (#SMM4H) Shared Task 2021. In Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task, pages 149–152, Mexico City, Mexico. Association for Computational Linguistics.
Cite (Informal):
ULD-NUIG at Social Media Mining for Health Applications (#SMM4H) Shared Task 2021 (Ojha et al., SMM4H 2021)
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