Transforming Question Answering Datasets Into Natural Language Inference Datasets. - Dorottya Demszky; Kelvin Guu; Percy Liang (CoRR, 2018)

Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings. - Dorottya Demszky; Nikhil Garg 001; Rob Voigt; James Zou 001; Jesse Shapiro; Matthew Gentzkow; Dan Jurafsky (NAACL-HLT (1), 2019)

GoEmotions: A Dataset of Fine-Grained Emotions. - Dorottya Demszky; Dana Movshovitz-Attias; Jeongwoo Ko; Alan S. Cowen; Gaurav Nemade; Sujith Ravi (ACL, 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 (LREC, 2020)

The Role of Verb Semantics in Hungarian Verb-Object Order. - Dorottya Demszky; László Kálmán; Dan Jurafsky; Beth Levin (CoRR, 2020)

Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions. - Dorottya Demszky; Jing Liu 064; Zid Mancenido; Julie Cohen; Heather Hill; Dan Jurafsky; Tatsunori Hashimoto (ACL/IJCNLP (1), 2021)

Learning to Recognize Dialect Features. - Dorottya Demszky; Devyani Sharma; Jonathan H. Clark; Vinodkumar Prabhakaran; Jacob Eisenstein (NAACL-HLT, 2021)

On the Opportunities and Risks of Foundation Models. - Rishi Bommasani; Drew A. Hudson; Ehsan Adeli 001; Russ B. Altman; Simran Arora; Sydney von Arx; Michael S. Bernstein; Jeannette Bohg; Antoine Bosselut; Emma Brunskill; Erik Brynjolfsson; Shyamal Buch; et al. (CoRR, 2021)

Computationally Identifying Funneling and Focusing Questions in Classroom Discourse. - Sterling Alic; Dorottya Demszky; Zid Mancenido; Jing Liu 064; Heather Hill; Dan Jurafsky (CoRR, 2022)

Towards the Future of AI-Augmented Human Tutoring in Math Learning. - Vincent Aleven; Richard G. Baraniuk; Emma Brunskill; Scott A. Crossley; Dora Demszky; Stephen Fancsali; Shivang Gupta; Kenneth R. Koedinger; Chris Piech; Steven Ritter 001; Danielle R. Thomas; Simon Woodhead 002; et al. (AIED (Posters/Late Breaking Results/...), 2023)

The NCTE Transcripts: A Dataset of Elementary Math Classroom Transcripts. - Dorottya Demszky; Heather Hill (BEA@ACL, 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 (BEA@ACL, 2023)

SIGHT: A Large Annotated Dataset on Student Insights Gathered from Higher Education Transcripts. - Rose E. Wang; Pawan Wirawarn; Noah D. Goodman; Dorottya Demszky (BEA@ACL, 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 (EMNLP, 2023)

MD3: The Multi-Dialect Dataset of Dialogues. - Jacob Eisenstein; Vinodkumar Prabhakaran; Clara Rivera; Dorottya Demszky; Devyani Sharma (INTERSPEECH, 2023)

M-Powering Teachers: Natural Language Processing Powered Feedback Improves 1: 1 Instruction and Student Outcomes. - Dorottya Demszky; Jing Liu 064 (L@S, 2023)

Step-by-Step Remediation of Students' Mathematical Mistakes. - Rose E. Wang; Qingyang Zhang; Carly Robinson; Susanna Loeb; Dorottya Demszky (CoRR, 2023)

Measuring Five Accountable Talk Moves to Improve Instruction at Scale. - Ashlee Kupor; Candice Morgan; Dorottya Demszky (CoRR, 2023)

Kid-Whisper: Towards Bridging the Performance Gap in Automatic Speech Recognition for Children VS. Adults. - Ahmed Adel Attia; Jing Liu 064; Wei Ai 002; Dorottya Demszky; Carol Y. Espy-Wilson (AIES (1), 2024)

Backtracing: Retrieving the Cause of the Query. - Rose E. Wang; Pawan Wirawarn; Omar Khattab; Noah D. Goodman; Dorottya Demszky (EACL (Findings), 2024)

Problem-Oriented Segmentation and Retrieval: Case Study on Tutoring Conversations. - Rose E. Wang; Pawan Wirawarn; Kenny Lam; Omar Khattab; Dorottya Demszky (EMNLP (Findings), 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 (LAK, 2024)

Scaling High-Leverage Curriculum Scaffolding in Middle-School Mathematics. - Rizwaan Malik; Dorna Abdi; Rose E. Wang; Dorottya Demszky (L@S, 2024)

Reframing Authority: A Computational Measure of Power-Affirming Feedback on Student Writing. - Mei Tan; Christopher Mah; Dorottya Demszky (L@S, 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 (L@S, 2024)

Edu-ConvoKit: An Open-Source Library for Education Conversation Data. - Rose E. Wang; Dorottya Demszky (NAACL (Demonstrations), 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 (NAACL-HLT, 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 064; Carol Y. Espy-Wilson (CoRR, 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)

Tell, Don't Show: Leveraging Language Models' Abstractive Retellings to Model Literary Themes. - Li Lucy; Camilla Griffiths; Sarah Levine; Jennifer L. Eberhardt; Dorottya Demszky; David Bamman (ACL (Findings), 2025)

Multi-Stage Speaker Diarization for Noisy Classrooms. - Ali Sartaz Khan; Tolúlopé Ògúnrèmí; Ahmed Adel Attia; Dorottya Demszky (EDM, 2025)

CPT-Boosted Wav2vec2.0: Towards Noise Robust Speech Recognition for Classroom Environments. - Ahmed Adel Attia; Dorottya Demszky; Tolúlopé Ògúnrèmí; Jing Liu 064; Carol Y. Espy-Wilson (ICASSP, 2025)

Exploring the Benefit of Customizing Feedback Interventions For Educators and Students With Offline Contextual Multi-Armed Bandits. - Joy Yun; Allen Nie; Emma Brunskill; Dorottya Demszky (LAK, 2025)

Automated feedback improves teachers' questioning quality in brick-and-mortar classrooms: Opportunities for further enhancement. - Dorottya Demszky; Jing Liu 064; Heather Hill; Shyamoli Sanghi; Ariel Chung (Comput. Educ., 2025)

Educator Attention: How computational tools can systematically identify the distribution of a key resource for students. - Qingyang Zhang; Rose E. Wang; Ana T. Ribeiro; Dora Demszky; Susanna Loeb (CoRR, 2025)

Scaffolding middle school mathematics curricula with large language models. - Rizwaan Malik; Dorna Abdi; Rose E. Wang; Dorottya Demszky (Br. J. Educ. Technol., 2025)

From Weak Labels to Strong Results: Utilizing 5,000 Hours of Noisy Classroom Transcripts with Minimal Accurate Data. - Ahmed Adel Attia; Dorottya Demszky; Jing Liu 064; Carol Y. Espy-Wilson (CoRR, 2025)

EduCoder: An Open-Source Annotation System for Education Transcript Data. - Guanzhong Pan; Mei Tan; Hyunji Nam; Lucía Langlois; James Malamut; Liliana Deonizio; Dorottya Demszky (CoRR, 2025)