An Ensemble Model for Automatic Grading of Evidence. - Yuting Guo; Yao Ge 003; Ruqi Liao; Abeed Sarker (ALTA, 2021)

Mining and characterizing long-COVID symptoms from self-reports on Reddit. - Yao Ge 003; Yuting Guo; Abeed Sarker (AMIA, 2021)

Pre-trained Transformer-based Classification and Span Detection Models for Social Media Health Applications. - Yuting Guo; Yao Ge 003; Mohammed Ali Al-Garadi; Abeed Sarker (SMM4H@NAACL-HLT, 2021)

Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022. - Davy Weissenbacher; Juan M. Banda; Vera Davydova; Darryl Estrada-Zavala; Luis Gascó Sánchez; Yao Ge 003; Yuting Guo; Ari Z. Klein; Martin Krallinger; Mathias Leddin; Arjun Magge; Raul Rodriguez-Esteban; et al. (SMM4H@COLING, 2022)

How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation. - Hejie Cui; Jiaying Lu 001; Yao Ge 003; Carl Yang 001 (ECIR (2), 2022)

A comparison of few-shot and traditional named entity recognition models for medical text. - Yao Ge 003; Yuting Guo; Yuan-Chi Yang; Mohammed Ali Al-Garadi; Abeed Sarker (ICHI, 2022)

Few-shot learning for medical text: A systematic review. - Yao Ge 003; Yuting Guo; Yuan-Chi Yang; Mohammed Ali Al-Garadi; Abeed Sarker (CoRR, 2022)

Data Augmentation with Nearest Neighbor Classifier for Few-Shot Named Entity Recognition. - Yao Ge 003; Mohammed Ali Al-Garadi; Abeed Sarker (MedInfo, 2023)

Detection of Medication Mentions and Medication Change Events in Clinical Notes Using Transformer-Based Models. - Yuting Guo; Yao Ge 003; Abeed Sarker (MedInfo, 2023)

Few-shot learning for medical text: A review of advances, trends, and opportunities. - Yao Ge 003; Yuting Guo; Sudeshna Das 002; Mohammed Ali Al-Garadi; Abeed Sarker (J. Biomed. Informatics, 2023)

Reddit-Impacts: A Named Entity Recognition Dataset for Analyzing Clinical and Social Effects of Substance Use Derived from Social Media. - Yao Ge 003; Sudeshna Das 002; Karen O'Connor; Mohammed Ali Al-Garadi; Graciela Gonzalez-Hernandez; Abeed Sarker (CoRR, 2024)

Two-layer retrieval augmented generation framework for low-resource medical question-answering: proof of concept using Reddit data. - Sudeshna Das 002; Yao Ge 003; Yuting Guo; Swati Rajwal; JaMor Hairston; Jeanne M. Powell; Drew Walker; Snigdha Peddireddy; Sahithi Lakamana; Selen Bozkurt; Matthew A. Reyna; Reza Sameni; et al. (CoRR, 2024)

HILGEN: Hierarchically-Informed Data Generation for Biomedical NER Using Knowledgebases and Large Language Models. - Yao Ge 003; Yuting Guo; Sudeshna Das 002; Swati Rajwal; Selen Bozkurt; Abeed Sarker (CoRR, 2025)