Anaïs Tack
Postdoc @ Piech Lab @ Stanford · Fellow @ BAEF · Board Member @ ACL SIGEDU

Hi there!
I’m a postdoctoral researcher interested in the application of natural language processing and machine learning in educational technologies for language learners.
My work focuses on developing and evaluating automated methods (statistical and deep learning) and machine-readable resources for the identification and prediction of complexity and difficulty in natural language.
Several resources that I developed are available open access under a Creative Commons license, such as the CEFR-ASAG dataset and the NT2Lex resource.
news
Apr 17, 2022 | Paper accepted at EDM 2022: The 15th International Conference on Educational Data Mining |
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Apr 4, 2022 | Paper accepted at LREC 2022: The 13th Language Resources and Evaluation Conference |
Nov 21, 2021 | We are organizing the 17th BEA workshop at NAACL 2022 in Seattle, Washington. |
Aug 4, 2021 | Elected as executive board member of ACL SIGEDU. |
Jun 25, 2021 | Ph.D. defense at Auditorium du Monceau, Louvain-la-Neuve, Belgium |
selected publications
- The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational DialoguesIn Proceedings of the 15th International Conference on Educational Data Mining, accepted, 2022.
- Ph.D. Thesis, 2021.