1 citations · 2 across the 4 of their papers we have counts for
7 papers
Using Open-Ended Stressor Responses to Predict Depressive Symptoms across Demographics
Carlos Aguirre, Mark Dredze, Philip Resnik
Stressors are related to depression, but this relationship is complex. We investigate the relationship between open-ended text responses about stressors and depressive symptoms acr…
Improving Zero-Shot Multi-Lingual Entity Linking
Elliot Schumacher, James Mayfield, Mark Dredze
Entity linking -- the task of identifying references in free text to relevant knowledge base representations -- often focuses on single languages. We consider multilingual entity l…
Faithful and Plausible Explanations of Medical Code Predictions
Zach Wood-Doughty, Isabel Cachola, Mark Dredze
Machine learning models that offer excellent predictive performance often lack the interpretability necessary to support integrated human machine decision-making. In clinical medic…
Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling
Aaron Mueller, Mark Dredze
Neural topic models can augment or replace bag-of-words inputs with the learned representations of deep pre-trained transformer-based word prediction models. One added benefit when…
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…
Demographic Representation and Collective Storytelling in the Me Too Twitter Hashtag Activism Movement
Aaron Mueller, Zach Wood-Doughty, Silvio Amir +2
The #MeToo movement on Twitter has drawn attention to the pervasive nature of sexual harassment and violence. While #MeToo has been praised for providing support for self-disclosur…