18 citations · 54 across the 31 of their papers we have counts for
6 papers · 1 filter
On the State of NLP Approaches to Modeling Depression in Social Media: A Post-COVID-19 Outlook
Ana-Maria Bucur, Andreea-Codrina Moldovan, Krutika Parvatikar +3
Computational approaches to predicting mental health conditions in social media have been substantially explored in the past years. Multiple reviews have been published on this top…
ARTICLE: Annotator Reliability Through In-Context Learning
Sujan Dutta, Deepak Pandita, Tharindu Cyril Weerasooriya +3
Ensuring annotator quality in training and evaluation data is a key piece of machine learning in NLP. Tasks such as sentiment analysis and offensive speech detection are intrinsica…
Gender Representation and Bias in Indian Civil Service Mock Interviews
Somonnoy Banerjee, Sujan Dutta, Soumyajit Datta +1
This paper makes three key contributions. First, via a substantial corpus of 51,278 interview questions sourced from 888 YouTube videos of mock interviews of Indian civil service c…
Rater Cohesion and Quality from a Vicarious Perspective
Deepak Pandita, Tharindu Cyril Weerasooriya, Sujan Dutta +5
Human feedback is essential for building human-centered AI systems across domains where disagreement is prevalent, such as AI safety, content moderation, or sentiment analysis. Man…
Community Needs and Assets: A Computational Analysis of Community Conversations
Md Towhidul Absar Chowdhury, Naveen Sharma, Ashiqur R. KhudaBukhsh
A community needs assessment is a tool used by non-profits and government agencies to quantify the strengths and issues of a community, allowing them to allocate their resources be…
Infrastructure Ombudsman: Mining Future Failure Concerns from Structural Disaster Response
Md Towhidul Absar Chowdhury, Soumyajit Datta, Naveen Sharma +1
Current research concentrates on studying discussions on social media related to structural failures to improve disaster response strategies. However, detecting social web posts di…