Geocoding Without Geotags: A Text-based Approach for reddit. - Keith Harrigian (NUT@EMNLP, 2018)

Recognizing Film Entities in Podcasts. - Ahmet Salih Gundogdu; Arjun Sanghvi; Keith Harrigian (CoRR, 2018)

Do Models of Mental Health Based on Social Media Data Generalize? - Keith Harrigian; Carlos Alejandro Aguirre; Mark Dredze (EMNLP (Findings), 2020)

On the State of Social Media Data for Mental Health Research. - Keith Harrigian; Carlos Alejandro Aguirre; Mark Dredze (CoRR, 2020)

Gender and Racial Fairness in Depression Research using Social Media. - Carlos Alejandro Aguirre; Keith Harrigian; Mark Dredze (EACL, 2021)

The Problem of Semantic Shift in Longitudinal Monitoring of Social Media: A Case Study on Mental Health During the COVID-19 Pandemic. - Keith Harrigian; Mark Dredze (WebSci, 2022)

Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed Depression Diagnoses. - Keith Harrigian; Mark Dredze (CoRR, 2022)

Characterization of Stigmatizing Language in Medical Records. - Keith Harrigian; Ayah Zirikly; Brant Chee; Alya Ahmad; Anne Links; Somnath Saha; Mary Catherine Beach; Mark Dredze (ACL (2), 2023)

An Eye on Clinical BERT: Investigating Language Model Generalization for Diabetic Eye Disease Phenotyping. - Keith Harrigian; Tina Tang; Anthony Gonzales; Cindy X. Cai; Mark Dredze (CoRR, 2023)

Are Clinical T5 Models Better for Clinical Text? - Yahan Li; Keith Harrigian; Ayah Zirikly; Mark Dredze (ML4H@NeurIPS, 2024)

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. - Hyewon Jeong; Sarah Jabbour; Yuzhe Yang 003; Rahul Thapa; Hussein Mozannar; William Jongwon Han; Nikita Mehandru; Michael Wornow; Vladislav Lialin; Xin Liu 034; Alejandro Lozano; Jiacheng Zhu; et al. (CoRR, 2024)

Give me Some Hard Questions: Synthetic Data Generation for Clinical QA. - Fan Bai 006; Keith Harrigian; Joel Stremmel; Hamid Hassanzadeh; Ardavan Saeedi; Mark Dredze (CoRR, 2024)

Detecting Dataset Bias in Medical AI: A Generalized and Modality-Agnostic Auditing Framework. - Nathan Drenkow; Mitchell Pavlak; Keith Harrigian; Ayah Zirikly; Adarsh Subbaswamy; Mathias Unberath (CoRR, 2025)