Conference paper
Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022), 2022, pp. 224--233
Assistant Professor in Education Data Science
Graduate School of Education
Stanford University
APA
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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). https://doi.org/10.18653/v1/2022.bea-1.27
Chicago/Turabian
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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
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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, doi:10.18653/v1/2022.bea-1.27.
BibTeX Click to copy
@inproceedings{alic2022a,
title = {Computationally Identifying Funneling and Focusing Questions in Classroom Discourse},
year = {2022},
pages = {224--233},
doi = {10.18653/v1/2022.bea-1.27},
author = {Alic, Sterling and Demszky, Dorottya and Mancenido, Zid and Liu, Jing and Hill, Heather and Jurafsky, Dan},
booktitle = {Proceedings of the 17th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2022)},
howpublished = {}
}