Hi there! I'm a PhD candidate in the Linguistics Department at Stanford University, advised by Dan Jurafsky. I'm a member of the Stanford NLP group. I publish under my full name, Dorottya Demszky.
My research focuses on developing and applying natural language processing methods to support student centered education. My recent work in this domain includes analyzing the representation of historically marginalized groups in US history textbooks and measuring teachers' uptake of student ideas in classroom discourse.
I am invested in understanding how NLP can be put to the service of social good. In addition to my education projects, I have worked on dialect feature recognition, emotion detection, and on using natural language processing to understand political issues, such as polarization and propaganda.
I am grateful to my incredible collaborators, mentors and mentees, who have made our projects possible and have made me a better person and researcher.
You can reach me at ddemszky [at] stanford [dot] edu.
- I led a workshop on using NLP to analyze textbooks as part of the Women in Data Science workshop series.
- Our paper on measuring teacher's uptake of student contributions was accepted by ACL 2021.
- I gave a talk at the Cornell NLP seminar on my recent work on measuring teachers' uptake of student contributions.
- Our paper on recognizing dialect features was accepted by NAACL 2021.
- I was named as a Harvard CRCS Rising Star in AI for Social Good.