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Shweta Yadav

8 accepted papers

2026

MAMA-Memeia! Multi-Aspect Multi-Agent Collaboration for Depressive Symptoms Identification in Memes

AAAI 2026technical

Over the past years, memes have evolved from being exclusively a medium of humorous exchanges to one that allows users to express a range of emotions freely and easily. With the ever-growing utilization of memes in expressing depressive sentiments, we conduct a study on identifying depressive sympto

Cited by 0SourcePDFScholar
2024

No perspective, no perception!! Perspective-aware Healthcare Answer Summarization

ACL 2024findings

Healthcare Community Question Answering (CQA) forums offer an accessible platform for individuals seeking information on various healthcare-related topics. People find such platforms suitable for self-disclosure, seeking medical opinions, finding simplified explanations for their medical conditions,…

2023

Towards Identifying Fine-Grained Depression Symptoms from Memes

ACL 2023long

The past decade has observed significant attention toward developing computational methods for classifying social media data based on the presence or absence of mental health conditions. In the context of mental health, for clinicians to make an accurate diagnosis or provide personalized interventio…

2022

Towards Enhancing Health Coaching Dialogue in Low-Resource Settings

COLING 2022main

Health coaching helps patients identify and accomplish lifestyle-related goals, effectively improving the control of chronic diseases and mitigating mental health conditions. However, health coaching is cost-prohibitive due to its highly personalized and labor-intensive nature. In this paper, we pro…

2021

Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards

ACL 2021short

The growth of online consumer health questions has led to the necessity for reliable and accurate question answering systems. A recent study showed that manual summarization of consumer health questions brings significant improvement in retrieving relevant answers. However, the automatic summarizati…

2020

Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework

COLING 2020main

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, health-care workers require practical and scalable depressive disorder screening and triage system. This study aims to…

Cited by 51SourcePDFScholar