22 citations · 46 across the 6 of their papers we have counts for
6 papers
Enriching Unsupervised User Embedding via Medical Concepts
Xiaolei Huang, Franck Dernoncourt, Mark Dredze
Clinical notes in Electronic Health Records (EHR) present rich documented information of patients to inference phenotype for disease diagnosis and study patient characteristics for…
User Factor Adaptation for User Embedding via Multitask Learning
Xiaolei Huang, Michael J. Paul, Robin Burke +2
Language varies across users and their interested fields in social media data: words authored by a user across his/her interests may have different meanings (e.g., cool) or sentime…
Twitter and Facebook posts about COVID-19 are less likely to spread false and low-credibility content compared to other health topics
David A. Broniatowski, Daniel Kerchner, Fouzia Farooq +4
On February 2, 2020, the World Health Organization declared a COVID-19 social media "infodemic", with special attention to misinformation -- frequently understood as false claims.…
Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition
Xiaolei Huang, Linzi Xing, Franck Dernoncourt +1
Existing research on fairness evaluation of document classification models mainly uses synthetic monolingual data without ground truth for author demographic attributes. In this wo…
Using Linguistic Features to Estimate Suicide Probability of Chinese Microblog Users
Lei Zhang, Xiaolei Huang, Tianli Liu +2
If people with high risk of suicide can be identified through social media like microblog, it is possible to implement an active intervention system to save their lives. Based on t…
Detecting Suicidal Ideation in Chinese Microblogs with Psychological Lexicons
Xiaolei Huang, Lei Zhang, Tianli Liu +3
Suicide is among the leading causes of death in China. However, technical approaches toward preventing suicide are challenging and remaining under development. Recently, several ac…