Hong, Matt-Heun, Marsh, Lauren A., Feuston, Jessica L., Ruppert, Janet, Brubaker, Jed R., and Szafir, Danielle Albers. Scholastic: Graphical Human-AI Collaboration for Inductive and Interpretive Text Analysis. Retrieved from https://par.nsf.gov/biblio/10444241. ACM Symposium on User Interface Software and Technology (UIST) . Web. doi:10.1145/3526113.3545681.

Hong, Matt-Heun, Marsh, Lauren A., Feuston, Jessica L., Ruppert, Janet, Brubaker, Jed R., & Szafir, Danielle Albers. Scholastic: Graphical Human-AI Collaboration for Inductive and Interpretive Text Analysis. ACM Symposium on User Interface Software and Technology (UIST), (). Retrieved from https://par.nsf.gov/biblio/10444241. https://doi.org/10.1145/3526113.3545681

Hong, Matt-Heun, Marsh, Lauren A., Feuston, Jessica L., Ruppert, Janet, Brubaker, Jed R., and Szafir, Danielle Albers. "Scholastic: Graphical Human-AI Collaboration for Inductive and Interpretive Text Analysis". ACM Symposium on User Interface Software and Technology (UIST) (). Country unknown/Code not available. https://doi.org/10.1145/3526113.3545681. https://par.nsf.gov/biblio/10444241.

@article{osti_10444241,
place = {Country unknown/Code not available}, title = {Scholastic: Graphical Human-AI Collaboration for Inductive and Interpretive Text Analysis}, url = {https://par.nsf.gov/biblio/10444241}, DOI = {10.1145/3526113.3545681}, abstractNote = {}, journal = {ACM Symposium on User Interface Software and Technology (UIST)}, author = {Hong, Matt-Heun and Marsh, Lauren A. and Feuston, Jessica L. and Ruppert, Janet and Brubaker, Jed R. and Szafir, Danielle Albers}, }