Dorottya (Dora) Demszky


Assistant Professor in Education Data Science



Graduate School of Education


Stanford University



Computationally Identifying Funneling and Focusing Questions in Classroom Discourse


Conference paper


Sterling Alic, Dorottya Demszky, Zid Mancenido, Jing Liu, Heather Hill, Dan Jurafsky
Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022), 2022, pp. 224--233

View PDF
Cite

Cite

APA
Alic, S., Demszky, D., Mancenido, Z., Liu, J., Hill, H., & Jurafsky, D. (2022). Computationally Identifying Funneling and Focusing Questions in Classroom Discourse. In Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022) (pp. 224–233).

Chicago/Turabian
Alic, Sterling, Dorottya Demszky, Zid Mancenido, Jing Liu, Heather Hill, and Dan Jurafsky. “Computationally Identifying Funneling and Focusing Questions in Classroom Discourse.” In Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022), 224–233, 2022.

MLA
Alic, Sterling, et al. “Computationally Identifying Funneling and Focusing Questions in Classroom Discourse.” Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022), 2022, pp. 224–33.