Author ORCID Identifier

0000-0001-5161-8925

Document Type

Conference Paper

Disciplines

Computer Sciences, Information Science, Health care sciences and services, Linguistics

Publication Details

Vasudevan Nedumpozhimana, Sneha Rautmare, Meegan Gower, Nishtha Jain, Maja Popović, Patricia Buffini, and John Kelleher. 2023. Medical Concept Mention Identification in Social Media Posts Using a Small Number of Sample References. In Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, pages 777–784, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.

Abstract

Identification of mentions of medical concepts in social media text can provide useful information for caseload prediction of diseases like Covid-19 and Measles. We propose a simple model for the automatic identification of the medical concept mentions in the social media text. We validate the effectiveness of the proposed model on Twitter, Reddit, and News/Media datasets.

DOI

https://doi.org/10.26615/978-954-452-092-2_084

Funder

ADAPT Centre

Creative Commons License

Creative Commons Attribution-Share Alike 4.0 International License
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 International License.


Share

COinS