Yao Ge

According to our database, Yao Ge authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

HILGEN: Hierarchically-Informed Data Generation for Biomedical NER Using Knowledgebases and Large Language Models.

Yao Ge, Yuting Guo, Sudeshna Das, Swati Rajwal, Selen Bozkurt, Abeed Sarker

CoRR, March, 2025

2024

Two-layer retrieval augmented generation framework for low-resource medical question-answering: proof of concept using Reddit data.

Sudeshna Das, Yao Ge, Yuting Guo, Swati Rajwal, JaMor Hairston, Jeanne M. Powell, Drew Walker, Snigdha Peddireddy, Sahithi Lakamana, Selen Bozkurt, Matthew A. Reyna, Reza Sameni, Yunyu Xiao, Sangmi Kim, Rasheeta Chandler, Natalie Hernandez, Danielle Mowery, Rachel Wightman, Jennifer Love, Anthony Spadaro, Jeanmarie Perrone, Abeed Sarker

CoRR, 2024

Reddit-Impacts: A Named Entity Recognition Dataset for Analyzing Clinical and Social Effects of Substance Use Derived from Social Media.

Yao Ge, Sudeshna Das, Karen O'Connor, Mohammed Ali Al-Garadi, Graciela Gonzalez-Hernandez, Abeed Sarker

CoRR, 2024

2023

Few-shot learning for medical text: A review of advances, trends, and opportunities.

Yao Ge, Yuting Guo, Sudeshna Das, Mohammed Ali Al-Garadi, Abeed Sarker

J. Biomed. Informatics, August, 2023

Detection of Medication Mentions and Medication Change Events in Clinical Notes Using Transformer-Based Models.

Yuting Guo, Yao Ge, Abeed Sarker

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

Data Augmentation with Nearest Neighbor Classifier for Few-Shot Named Entity Recognition.

Yao Ge, Mohammed Ali Al-Garadi, Abeed Sarker

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

2022

Few-shot learning for medical text: A systematic review.

Yao Ge, Yuting Guo, Yuan-Chi Yang, Mohammed Ali Al-Garadi, Abeed Sarker

CoRR, 2022

A comparison of few-shot and traditional named entity recognition models for medical text.

Yao Ge, Yuting Guo, Yuan-Chi Yang, Mohammed Ali Al-Garadi, Abeed Sarker

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation.

Hejie Cui, Jiaying Lu, Yao Ge, Carl Yang

Proceedings of the Advances in Information Retrieval, 2022

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, Yuting Guo, Ari Z. Klein, Martin Krallinger, Mathias Leddin, Arjun Magge, Raul Rodriguez-Esteban, Abeed Sarker, Ana Lucía Schmidt, Elena Tutubalina, Graciela Gonzalez-Hernandez

Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, 2022

2021

Pre-trained Transformer-based Classification and Span Detection Models for Social Media Health Applications.

Yuting Guo, Yao Ge, Mohammed Ali Al-Garadi, Abeed Sarker

Proceedings of the Sixth Social Media Mining for Health Workshop and Shared Task, 2021

Mining and characterizing long-COVID symptoms from self-reports on Reddit.

Yao Ge, Yuting Guo, Abeed Sarker

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

An Ensemble Model for Automatic Grading of Evidence.

Yuting Guo, Yao Ge, Ruqi Liao, Abeed Sarker

Proceedings of the 19th Annual Workshop of the Australasian Language Technology Association, 2021