2 citations · 3 across the 5 of their papers we have counts for
7 papers
An Eye on Clinical BERT: Investigating Language Model Generalization for Diabetic Eye Disease Phenotyping
Keith Harrigian, Tina Tang, Anthony Gonzales +2
Diabetic eye disease is a major cause of blindness worldwide. The ability to monitor relevant clinical trajectories and detect lapses in care is critical to managing the disease an…
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
Social media allows researchers to track societal and cultural changes over time based on language analysis tools. Many of these tools rely on statistical algorithms which need to…
Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed Depression Diagnoses
Keith Harrigian, Mark Dredze
Self-disclosed mental health diagnoses, which serve as ground truth annotations of mental health status in the absence of clinical measures, underpin the conclusions behind most co…
Gender and Racial Fairness in Depression Research using Social Media
Carlos Aguirre, Keith Harrigian, Mark Dredze
Multiple studies have demonstrated that behavior on internet-based social media platforms can be indicative of an individual's mental health status. The widespread availability of…
On the State of Social Media Data for Mental Health Research
Keith Harrigian, Carlos Aguirre, Mark Dredze
Data-driven methods for mental health treatment and surveillance have become a major focus in computational science research in the last decade. However, progress in the domain, in…
Geocoding Without Geotags: A Text-based Approach for reddit
Keith Harrigian
In this paper, we introduce the first geolocation inference approach for reddit, a social media platform where user pseudonymity has thus far made supervised demographic inference…
Recognizing Film Entities in Podcasts
Ahmet Salih Gundogdu, Arjun Sanghvi, Keith Harrigian
In this paper, we propose a Named Entity Recognition (NER) system to identify film titles in podcast audio. Taking inspiration from NER systems for noisy text in social media, we i…