20 citations · 52 across the 14 of their papers we have counts for
16 papers
No perspective, no perception!! Perspective-aware Healthcare Answer Summarization
Gauri Naik, Sharad Chandakacherla, Shweta Yadav +1
Healthcare Community Question Answering (CQA) forums offer an accessible platform for individuals seeking information on various healthcare-related topics. People find such platfor…
Aspect-oriented Consumer Health Answer Summarization
Rochana Chaturvedi, Abari Bhattacharya, Shweta Yadav
Community Question-Answering (CQA) forums have revolutionized how people seek information, especially those related to their healthcare needs, placing their trust in the collective…
Monte Carlo Simulation Development and Implementation of the GiBUU Model for Neutrino Experiments
Leonidas Aliaga Soplin, Raquel Castillo Fernandez, Jasper Gustafson +2
This paper introduces a Monte Carlo simulation generated with the GiBUU model for neutrino experiments. The simulation generates realistic neutrino event samples, contributing to t…
How is Vaping Framed on Online Knowledge Dissemination Platforms?
Keyu Chen, Yiwen Shi, Jun Luo +7
We analyze 1,888 articles and 1,119,453 vaping posts to study how vaping is framed across multiple knowledge dissemination platforms (Wikipedia, Quora, Medium, Reddit, Stack Exchan…
US News and Social Media Framing around Vaping
Keyu Chen, Marzieh Babaeianjelodar, Yiwen Shi +9
In this paper, we investigate how vaping is framed differently (2008-2021) between US news and social media. We analyze 15,711 news articles and 1,231,379 Facebook posts about vapi…
Partisan US News Media Representations of Syrian Refugees
Keyu Chen, Marzieh Babaeianjelodar, Yiwen Shi +13
We investigate how representations of Syrian refugees (2011-2021) differ across US partisan news outlets. We analyze 47,388 articles from the online US media about Syrian refugees…
CHQ-Summ: A Dataset for Consumer Healthcare Question Summarization
Shweta Yadav, Deepak Gupta, Dina Demner-Fushman
The quest for seeking health information has swamped the web with consumers' health-related questions. Generally, consumers use overly descriptive and peripheral information to exp…
Question-aware Transformer Models for Consumer Health Question Summarization
Shweta Yadav, Deepak Gupta, Asma Ben Abacha +1
Searching for health information online is becoming customary for more and more consumers every day, which makes the need for efficient and reliable question answering systems more…
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…
"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…
Assessing the Severity of Health States based on Social Media Posts
Shweta Yadav, Joy Prakash Sain, Amit Sheth +3
The unprecedented growth of Internet users has resulted in an abundance of unstructured information on social media including health forums, where patients request health-related i…
Relation Extraction from Biomedical and Clinical Text: Unified Multitask Learning Framework
Shweta Yadav, Srivatsa Ramesh, Sriparna Saha +1
To minimize the accelerating amount of time invested in the biomedical literature search, numerous approaches for automated knowledge extraction have been proposed. Relation extrac…
Relation extraction between the clinical entities based on the shortest dependency path based LSTM
Dhanachandra Ningthoujam, Shweta Yadav, Pushpak Bhattacharyya +1
Owing to the exponential rise in the electronic medical records, information extraction in this domain is becoming an important area of research in recent years. Relation extractio…
Leveraging Medical Sentiment to Understand Patients Health on Social Media
Shweta Yadav, Joy Sain, Amit Sheth +3
The unprecedented growth of Internet users in recent years has resulted in an abundance of unstructured information in the form of social media text. A large percentage of this pop…
Feature Assisted bi-directional LSTM Model for Protein-Protein Interaction Identification from Biomedical Texts
Shweta Yadav, Ankit Kumar, Asif Ekbal +2
Knowledge about protein-protein interactions is essential in understanding the biological processes such as metabolic pathways, DNA replication, and transcription etc. However, a m…