A Study of Lexical and Prosodic Cues to Segmentation in a Hindi-English Code-switched Discourse. - Preeti Rao; Mugdha Pandya; Kamini Sabu; Kanhaiya Kumar; Nandini Bondale (INTERSPEECH, 2018)

Intrinsic Bias Metrics Do Not Correlate with Application Bias. - Seraphina Goldfarb-Tarrant; Rebecca Marchant; Ricardo Muñoz Sánchez; Mugdha Pandya; Adam Lopez (ACL/IJCNLP (1), 2021)

Alexa, Google, Siri: What are Your Pronouns? Gender and Anthropomorphism in the Design and Perception of Conversational Assistants. - Gavin Abercrombie; Amanda Cercas Curry; Mugdha Pandya; Verena Rieser (CoRR, 2021)

Dimensions of Online Conflict: Towards Modeling Agonism. - Matt Canute; Mali Jin; hannah holtzclaw; Alberto Lusoli; Philippa R. Adams; Mugdha Pandya; Maite Taboada; Diana Maynard; Wendy Hui Kyong Chun (EMNLP (Findings), 2023)

shefnlp at SemEval-2023 Task 10: Compute-Efficient Category Adapters. - Thomas Pickard; Tyler Loakman; Mugdha Pandya (SemEval@ACL, 2023)

Exploring the Influence of Label Aggregation on Minority Voices: Implications for Dataset Bias and Model Training. - Mugdha Pandya; Nafise Sadat Moosavi; Diana Maynard (CoRR, 2024)

Hostility Detection in UK Politics: A Dataset on Online Abuse Targeting MPs. - Mugdha Pandya; Mali Jin; Kalina Bontcheva; Diana Maynard (CoRR, 2024)