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Dorottya Demszky
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On the opportunities and risks of foundation models
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 2021
6512021
GoEmotions: A Dataset of Fine-Grained Emotions
D Demszky, D Movshovitz-Attias, J Ko, A Cowen, G Nemade, S Ravi
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
2412020
Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings
D Demszky, N Garg, R Voigt, J Zou, M Gentzkow, J Shapiro, D Jurafsky
Proceedings of the 17th Annual Conference of the North American Chapter of …, 2019
1332019
Transforming Question Answering Datasets Into Natural Language Inference Datasets
D Demszky*, K Guu*, P Liang
arXiv preprint arXiv:1809.02922, 2018
972018
Content Analysis of Textbooks via Natural Language Processing: Findings on Gender, Race, and Ethnicity in Texas US History Textbooks
L Lucy*, D Demszky*, P Bromley, D Jurafsky
AERA Open 6 (3), 2332858420940312, 2020
482020
Learning to Recognize Dialect Features
D Demszky, D Sharma, JH Clark, V Prabhakaran, J Eisenstein
Proceedings of the 19th Annual Conference of the North American Chapter of …, 2020
162020
Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions
D Demszky, J Liu, Z Mancenido, J Cohen, H Hill, D Jurafsky, T Hashimoto
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
142021
Can Automated Feedback Improve Teachers’ Uptake of Student Ideas? Evidence From a Randomized Controlled Trial In a Large-Scale Online Course
D Demszky, J Liu, HC Hill, D Jurafsky, C Piech
5*2021
Content Analysis of Textbooks via Natural Language Processing: Findings on Gender, Race, and Ethnicity in Texas US History Textbooks. AERA Open, 6 (3), 233285842094031
L Lucy, D Demszky, P Bromley, D Jurafsky
52020
Computationally identifying funneling and focusing questions in classroom discourse
S Alic, D Demszky, Z Mancenido, J Liu, H Hill, D Jurafsky
arXiv preprint arXiv:2208.04715, 2022
32022
Pártélet: A Hungarian Corpus of Propaganda Texts from the Hungarian Socialist Era
Z Kmetty, V Vincze, D Demszky, O Ring, B Nagy, MK Szabó
Proceedings of the 12th Language Resources and Evaluation Conference (LREC), 2020
3*2020
Bottled vs. Tap Water Impact Assessment
D Demszky, R Zempléni, L Conlan, S Hiltner
Sustainability at Princeton: Drink Local, 2014
22014
The ncte transcripts: A dataset of elementary math classroom transcripts
D Demszky, H Hill
arXiv preprint arXiv:2211.11772, 2022
12022
The role of verb semantics in Hungarian verb-object order
D Demszky
Proceedings of the Linguistic Society of America 6 (1), 54-68, 2021
2021
Unpacking High-Quality Teaching: Measuring Teachers’ Uptake of Student Ideas Using Computational Linguistic Analysis
D Demszky, J Liu, HC Hill
2020 APPAM Fall Research Conference, 2020
2020
Analyzing the Framing of 2020 Presidential Candidates in the News
A Acken, D Demszky
Proceedings of the The Fourth Widening Natural Language Processing Workshop, 2020
2020
StaTIC: A Dataset of Question-Driven Inference Chains
D Demszky
2017
Content Analysis of Textbooks via Natural Language Processing: Findings on Gender, Race, and Ethnicity in Texas US History Textbooks
D Demszky, L Li
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Articles 1–18