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Sudeshna Das
Sudeshna Das
Postdoctoral Fellow, Emory University
Verifisert e-postadresse på emory.edu - Startside
Tittel
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Few-shot learning for medical text: A review of advances, trends, and opportunities
Y Ge, Y Guo, S Das, MA Al-Garadi, A Sarker
Journal of Biomedical Informatics 144, 104458, 2023
552023
Context-sensitive gender inference of named entities in text
S Das, JH Paik
Information Processing & Management 58 (1), 102423, 2021
252021
Overview of the 9th social media mining for health applications (# SMM4H) shared tasks at ACL 2024
D Xu, GL Garcia, L Raithel, R Roller, P Thomas, E Aramaki, S Yada, ...
Proceedings of The 9th Social Media Mining for Health Research and …, 2024
212024
An aspect-level sentiment analysis dataset for therapies on Twitter
Y Guo, S Das, S Lakamana, A Sarker
Data in Brief 50, 109618, 2023
142023
Resilience of named entity recognition models under adversarial attack
S Das, J Paik
Proceedings of the First Workshop on Dynamic Adversarial Data Collection, 1-6, 2022
72022
Reddit-impacts: A named entity recognition dataset for analyzing clinical and social effects of substance use derived from social media
Y Ge, S Das, K O'Connor, MA Al-Garadi, G Gonzalez-Hernandez, ...
arXiv preprint arXiv:2405.06145, 2024
42024
Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study
S Das, Y Ge, Y Guo, S Rajwal, JM Hairston, J Powell, D Walker, ...
Journal of Medical Internet Research 27, e66220, 2025
2*2025
Emerging trends of self-harm using sodium nitrite in an online suicide community: observational study using natural language processing analysis
S Das, D Walker, S Rajwal, S Lakamana, SA Sumner, KA Mack, ...
JMIR mental health 11 (1), e53730, 2024
22024
Gender tagging of named entities using retrieval‐assisted multi‐context aggregation: An unsupervised approach
S Das, JH Paik
Journal of the Association for Information Science and Technology 74 (4 …, 2023
12023
HILGEN: Hierarchically-Informed Data Generation for Biomedical NER Using Knowledgebases and Large Language Models
Y Ge, Y Guo, S Das, S Rajwal, S Bozkurt, A Sarker
arXiv preprint arXiv:2503.04930, 2025
2025
CARE-SD: classifier-based analysis for recognizing provider stigmatizing and doubt marker labels in electronic health records: model development and validation
A Walker, A Thorne, S Das, J Love, HLF Cooper, M Livingston III, A Sarker
Journal of the American Medical Informatics Association 32 (2), 365-374, 2025
2025
Automated Gender Bias Identification in Textbooks
S Das
Indian Institute of Technology Kharagpur, 2022
2022
Better Textbooks with Human Language Technology
S Das
The 41st International ACM SIGIR Conference on Research & Development in …, 2018
2018
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Artikler 1–13