I am a first-year PhD student at CU Boulder, working on natural language processing at the NALA lab. I am advised by Prof. Katharina Kann and Prof. Martha Palmer. I develop computational models for understanding and generating language, with a focus on educational applications. Currently, I am working on improving classroom discourse through NLP models that can learn to make appropriate interventions, and investigating ways to understand and answer questions asked in the classroom. I am also interested in data collection strategies, especially for machine translation.
Previously, I worked as a Research Engineer at the Educational Testing Services (ETS)
in the NLP and speech research group. I graduated from UMass Amherst with a master's degree in
Computer Science, where I worked at IESL, mainly on energy-efficient NLP models and semantic role labeling.
What Would a Teacher Do? Predicting Future Talk Moves
Ananya Ganesh, Martha Palmer, Katharina Kann.
Findings of ACL 2021
Don't Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data
Rajat Bhatnagar, Ananya Ganesh, Katharina Kann.
Training and Domain Adaptation for Supervised Text Segmentation
Goran Glavaš, Ananya Ganesh, Swapna Somasundaran.
BEA 2021 Workshop at EACL
Energy and Policy Considerations for Deep Learning in NLP
Emma Strubell, Ananya Ganesh, Andrew McCallum.
Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings
Haw-Shiuan Chang, Amol Agrawal, Ananya Ganesh, Anirudha Desai, Vinayak Mathur, Alfred Hough, Andrew McCallum.
TextGraphs 2018 Workshop at NAACL-HLT