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ORCIDAnanya Ganesh
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2020 – today
- 2024
[c14]Shamya Karumbaiah
, Ananya Ganesh, Aayush Bharadwaj, Lucas Anderson:
Evaluating Behaviors of General Purpose Language Models in a Pedagogical Context. AIED (2) 2024: 47-61- [c13]Ananya Ganesh, Chelsea Chandler, Sidney D'Mello, Martha Palmer, Katharina Kann:
Prompting as Panacea? A Case Study of In-Context Learning Performance for Qualitative Coding of Classroom Dialog. EDM 2024 - 2023
- [c12]Ananya Ganesh, Jie Cao, E. Margaret Perkoff, Rosy Southwell, Martha Palmer, Katharina Kann:
Mind the Gap between the Application Track and the Real World. ACL (2) 2023: 1833-1842 - [c11]Ananya Ganesh, Michael Alan Chang, Rachel Dickler, Michael Regan, Jon Z. Cai, Kristin Wright-Bettner, James Pustejovsky, James H. Martin, Jeffrey Flanigan, Martha Palmer, Katharina Kann:
Navigating Wanderland: Highlighting Off-Task Discussions in Classrooms. AIED 2023: 727-732 - [c10]Thomas Breideband, Jeffrey B. Bush, Chelsea Chandler, Michael Alan Chang, Rachel Dickler, Peter W. Foltz, Ananya Ganesh, Rachel Lieber, William R. Penuel, Jason G. Reitman, John Weatherley, Sidney D'Mello:
The Community Builder (CoBi): Helping Students to Develop Better Small Group Collaborative Learning Skills. CSCW Companion 2023: 376-380 - [c9]Jie Cao, Ananya Ganesh, Jon Z. Cai, Rosy Southwell, E. Margaret Perkoff, Michael Regan, Katharina Kann, James H. Martin, Martha Palmer, Sidney D'Mello:
A Comparative Analysis of Automatic Speech Recognition Errors in Small Group Classroom Discourse. UMAP 2023: 250-262 - [i5]Jon Z. Cai, Brendan King, Margaret Perkoff, Shiran Dudy, Jie Cao, Marie Grace, Natalia Wojarnik, Ananya Ganesh, James H. Martin, Martha Palmer, Marilyn A. Walker, Jeffrey Flanigan:
Dependency Dialogue Acts - Annotation Scheme and Case Study. CoRR abs/2302.12944 (2023) - 2022
- [c8]Aparna Garimella, Abhilasha Sancheti, Vinay Aggarwal, Ananya Ganesh, Niyati Chhaya, Nandakishore Kambhatla:
Text Simplification for Legal Domain: Insights and Challenges. NLLP@EMNLP 2022: 296-304 - [c7]Rajat Bhatnagar, Ananya Ganesh, Katharina Kann:
CHIA: CHoosing Instances to Annotate for Machine Translation. EMNLP (Findings) 2022: 7299-7315 - 2021
- [c6]Rajat Bhatnagar, Ananya Ganesh, Katharina Kann:
Don't Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data. ACL/IJCNLP (2) 2021: 1099-1106 - [c5]Ananya Ganesh, Martha Palmer, Katharina Kann:
What Would a Teacher Do? Predicting Future Talk Moves. ACL/IJCNLP (Findings) 2021: 4739-4751 - [c4]Goran Glavas, Ananya Ganesh, Swapna Somasundaran:
Training and Domain Adaptation for Supervised Text Segmentation. BEA@EACL 2021: 110-116 - [i4]Ananya Ganesh, Martha Palmer, Katharina Kann:
What Would a Teacher Do? Predicting Future Talk Moves. CoRR abs/2106.05249 (2021) - [i3]Rajat Bhatnagar, Ananya Ganesh, Katharina Kann:
Don't Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data. CoRR abs/2106.06875 (2021) - 2020
- [c3]Emma Strubell, Ananya Ganesh, Andrew McCallum:
Energy and Policy Considerations for Modern Deep Learning Research. AAAI 2020: 13693-13696
2010 – 2019
- 2019
- [c2]Emma Strubell, Ananya Ganesh, Andrew McCallum:
Energy and Policy Considerations for Deep Learning in NLP. ACL (1) 2019: 3645-3650 - [i2]Emma Strubell, Ananya Ganesh, Andrew McCallum:
Energy and Policy Considerations for Deep Learning in NLP. CoRR abs/1906.02243 (2019) - 2018
- [c1]Haw-Shiuan Chang, Amol Agrawal, Ananya Ganesh, Anirudha Desai, Vinayak Mathur, Alfred Hough, Andrew McCallum:
Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings. TextGraphs@NAACL-HLT 2018: 38-48 - [i1]Haw-Shiuan Chang, Amol Agrawal, Ananya Ganesh, Anirudha Desai, Vinayak Mathur, Alfred Hough, Andrew McCallum:
Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings. CoRR abs/1804.03257 (2018)
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