Nupoor Gandhi

I am a third-year PhD student in Machine Learning and Public Policy at Carnegie Mellon University advised by Emma Strubell. I am primarily interested in extracting structured meaning representations from text in low-resource, policy-relevant domains. Previously, I received my bachelors in Computer Science with a minor in Math at the University of Illinois at Urbana-Champaign. At Illinois I worked on modeling public health outcomes using social media data as a part of the Text Information Management and Analysis Group and the Health and Social Media Group working with ChengXiang Zhai and Dolores Albarracin. I was also a Data Science for Social Good Fellow at Imperial College London, where I worked on a QA system for nonprofit Barefoot Law to accelerate access to legal advice.  

Contact: nmgandhi(at)cs.cmu.edu

Publications

Annotating Mentions Alone Enables Efficient Domain Adaptation for Coreference Resolution . Nupoor Gandhi, Anjalie Field, Emma Strubell. Proceedings of ACL 2023

Examining risks of racial biases in NLP tools for child protective services. Anjalie Field, Amanda Coston, Nupoor Gandhi, Alexandra Chouldechova, Emily Putnam-Hornstein, David Steier and Yulia Tsvetkov. Proceedings of ACM FAccT 2023

Improving Span Representation for Domain-adapted Coreference Resolution. Nupoor Gandhi, Anjalie Field, Yulia Tsvetkov. Proceedings of EMNLP 2021 Workshop on Computational Models of Reference, Anaphora and Coreference

Predicting Opioid Overdose Crude Rates with Text-Based Twitter Features (Student Abstract). Nupoor Gandhi, Alex Morales, Sally Man-Pui Chan, Dolores Albarracin, and ChengXiang Zhai. Proceedings of the AAAI 2020.

Multi-Attribute Topic Feature Construction for Social Media-based Prediction. Alex Morales, Nupoor Gandhi, Man-pui Sally Chan, Sophie Lohmann, Travis Sanchez, Kathleen A. Brady, Lyle Ungar, Dolores Albarracín, and ChengXiang Zhai. Proceedings of IEEE Big Data 2018