920 citations · 2k across the 70 of their papers we have counts for
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Comparing Suicide Risk Insights derived from Clinical and Social Media data
Rohith K. Thiruvalluru, Manas Gaur, Krishnaprasad Thirunarayan +2
Suicide is the 10th leading cause of death in the US and the 2nd leading cause of death among teenagers. Clinical and psychosocial factors contribute to suicide risk (SRFs), althou…
Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework
Shweta Yadav, Jainish Chauhan, Joy Prakash Sain +3
Existing studies on using social media for deriving mental health status of users focus on the depression detection task. However, for case management and referral to psychiatrists…
Medical Knowledge-enriched Textual Entailment Framework
Shweta Yadav, Vishal Pallagani, Amit Sheth
One of the cardinal tasks in achieving robust medical question answering systems is textual entailment. The existing approaches make use of an ensemble of pre-trained language mode…
COVID-19 in Spain and India: Comparing Policy Implications by Analyzing Epidemiological and Social Media Data
Parth Asawa, Manas Gaur, Kaushik Roy +1
The COVID-19 pandemic has forced public health experts to develop contingent policies to stem the spread of infection, including measures such as partial/complete lockdowns. The ef…
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable?
Manas Gaur, Keyur Faldu, Amit Sheth
The recent series of innovations in deep learning (DL) have shown enormous potential to impact individuals and society, both positively and negatively. The DL models utilizing mass…
"When they say weed causes depression, but it's your fav antidepressant": Knowledge-aware Attention Framework for Relationship Extraction
Shweta Yadav, Usha Lokala, Raminta Daniulaityte +3
With the increasing legalization of medical and recreational use of cannabis, more research is needed to understand the association between depression and consumer behavior related…