Dorottya Demszky

According to our database, Dorottya Demszky authored at least 30 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise.

Rose E. Wang, Ana T. Ribeiro, Carly Robinson, Susanna Loeb, Dora Demszky

CoRR, 2024

CPT-Boosted Wav2vec2.0: Towards Noise Robust Speech Recognition for Classroom Environments.

Ahmed Adel Attia, Dorottya Demszky, Tolúlopé Ògúnrèmí, Jing Liu, Carol Y. Espy-Wilson

CoRR, 2024

Continued Pretraining for Domain Adaptation of Wav2vec2.0 in Automatic Speech Recognition for Elementary Math Classroom Settings.

Ahmed Adel Attia, Dorottya Demszky, Tolúlopé Ògúnrèmí, Jing Liu, Carol Y. Espy-Wilson

CoRR, 2024

Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math Mistakes.

Rose E. Wang, Qingyang Zhang, Carly Robinson, Susanna Loeb, Dorottya Demszky

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Edu-ConvoKit: An Open-Source Library for Education Conversation Data.

Rose E. Wang, Dorottya Demszky

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, 2024

Enhancing Tutoring Effectiveness Through Automated Feedback: Preliminary Findings from a Pilot Randomized Controlled Trial on SAT Tutoring.

Joy Yun, Yann Hicke, Mariah Olson, Dorottya Demszky

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

Reframing Authority: A Computational Measure of Power-Affirming Feedback on Student Writing.

Mei Tan, Christopher Mah, Dorottya Demszky

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

Scaling High-Leverage Curriculum Scaffolding in Middle-School Mathematics.

Rizwaan Malik, Dorna Abdi, Rose E. Wang, Dorottya Demszky

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

Does Feedback on Talk Time Increase Student Engagement? Evidence from a Randomized Controlled Trial on a Math Tutoring Platform.

Dorottya Demszky, Rose E. Wang, Sean Geraghty, Carol Yu

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Problem-Oriented Segmentation and Retrieval: Case Study on Tutoring Conversations.

Rose E. Wang, Pawan Wirawarn, Kenny Lam, Omar Khattab, Dorottya Demszky

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Backtracing: Retrieving the Cause of the Query.

Rose E. Wang, Pawan Wirawarn, Omar Khattab, Noah D. Goodman, Dorottya Demszky

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

Measuring Five Accountable Talk Moves to Improve Instruction at Scale.

Ashlee Kupor, Candice Morgan, Dorottya Demszky

CoRR, 2023

Step-by-Step Remediation of Students' Mathematical Mistakes.

Rose E. Wang, Qingyang Zhang, Carly Robinson, Susanna Loeb, Dorottya Demszky

CoRR, 2023

Kid-Whisper: Towards Bridging the Performance Gap in Automatic Speech Recognition for Children VS. Adults.

Ahmed Adel Attia, Jing Liu, Wei Ai, Dorottya Demszky, Carol Y. Espy-Wilson

CoRR, 2023

M-Powering Teachers: Natural Language Processing Powered Feedback Improves 1: 1 Instruction and Student Outcomes.

Dorottya Demszky, Jing Liu

Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

MD3: The Multi-Dialect Dataset of Dialogues.

Jacob Eisenstein, Vinodkumar Prabhakaran, Clara Rivera, Dorottya Demszky, Devyani Sharma

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

"Mistakes Help Us Grow": Facilitating and Evaluating Growth Mindset Supportive Language in Classrooms.

Kunal Handa, Margaret Clapper, Jessica Boyle, Rose E. Wang, Diyi Yang, David S. Yeager, Dorottya Demszky

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SIGHT: A Large Annotated Dataset on Student Insights Gathered from Higher Education Transcripts.

Rose E. Wang, Pawan Wirawarn, Noah D. Goodman, Dorottya Demszky

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom Instruction.

Rose E. Wang, Dorottya Demszky

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

The NCTE Transcripts: A Dataset of Elementary Math Classroom Transcripts.

Dorottya Demszky, Heather Hill

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

Towards the Future of AI-Augmented Human Tutoring in Math Learning.

Vincent Aleven, Richard G. Baraniuk, Emma Brunskill, Scott Crossley, Dora Demszky, Stephen Fancsali, Shivang Gupta, Kenneth R. Koedinger, Chris Piech, Steven Ritter, Danielle R. Thomas, Simon Woodhead, Wanli Xing

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

2022

Computationally Identifying Funneling and Focusing Questions in Classroom Discourse.

Sterling Alic, Dorottya Demszky, Zid Mancenido, Jing Liu, Heather Hill, Dan Jurafsky

CoRR, 2022

2021

On the Opportunities and Risks of Foundation Models.

Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, Russ B. Altman, Simran Arora, Sydney von Arx, Michael S. Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, Erik Brynjolfsson, Shyamal Buch, Dallas Card, Rodrigo Castellon, Niladri S. Chatterji, Annie S. Chen, Kathleen Creel, Jared Quincy Davis, Dorottya Demszky, Chris Donahue, Moussa Doumbouya, Esin Durmus, Stefano Ermon, John Etchemendy, Kawin Ethayarajh, Li Fei-Fei, Chelsea Finn, Trevor Gale, Lauren E. Gillespie, Karan Goel, Noah D. Goodman, Shelby Grossman, Neel Guha, Tatsunori Hashimoto, Peter Henderson, John Hewitt, Daniel E. Ho, Jenny Hong, Kyle Hsu, Jing Huang, Thomas Icard, Saahil Jain, Dan Jurafsky, Pratyusha Kalluri, Siddharth Karamcheti, Geoff Keeling, Fereshte Khani, Omar Khattab, Pang Wei Koh, Mark S. Krass, Ranjay Krishna, Rohith Kuditipudi, et al.

CoRR, 2021

Learning to Recognize Dialect Features.

Dorottya Demszky, Devyani Sharma, Jonathan H. Clark, Vinodkumar Prabhakaran, Jacob Eisenstein

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions.

Dorottya Demszky, Jing Liu, Zid Mancenido, Julie Cohen, Heather Hill, Dan Jurafsky, Tatsunori Hashimoto

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

The Role of Verb Semantics in Hungarian Verb-Object Order.

Dorottya Demszky, László Kálmán, Dan Jurafsky, Beth Levin

CoRR, 2020

Pártélet: A Hungarian Corpus of Propaganda Texts from the Hungarian Socialist Era.

Zoltán Kmetty, Veronika Vincze, Dorottya Demszky, Orsolya Ring, Balázs Nagy, Martina Katalin Szabó

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

GoEmotions: A Dataset of Fine-Grained Emotions.

Dorottya Demszky, Dana Movshovitz-Attias, Jeongwoo Ko, Alan S. Cowen, Gaurav Nemade, Sujith Ravi

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings.

Dorottya Demszky, Nikhil Garg, Rob Voigt, James Zou, Jesse Shapiro, Matthew Gentzkow, Dan Jurafsky

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Transforming Question Answering Datasets Into Natural Language Inference Datasets.

Dorottya Demszky, Kelvin Guu, Percy Liang

CoRR, 2018