Anaïs Tack

Postdoc @ Itec, imec research group @ KU Leuven · Lecturer @ EPL @ FIAL @ UCLouvain · Board Member @ ACL SIGEDU


I’m a postdoctoral researcher at Itec, imec research group at KU Leuven where I’m leading the research track in language technology. In addition to research, I teach two courses in NLP at the Louvain School of Engineering and the Faculty of Philosophy, Arts and Letters at UCLouvain. I’m also one of the executive board members of the ACL SIGEDU, who organize the annual Workshop on Innovative Use of NLP for Building Educational Applications. Anyone can become a SIG member, so come join us – it’s great fun and we’re a friendly bunch!

Previously, I was a BAEF postdoctoral research fellow in computer science at Stanford University, where I worked in Chris Piech’s Lab and the HAI Education team.


Apr 22, 2024 Three papers accepted at BEA 2024: The 19th Workshop on Innovative Use of NLP for Building Educational Applications
Mar 28, 2024 Invited talk on AI and Language at Science Bar: AI Expectations and Applications at Vives University of Applied Sciences in Kortrijk, Belgium.
Mar 20, 2024 Invited talk on Language Learning with Conversational AI at Learning Bytes Festival during Flanders Technology & Innovation in Kortrijk, Belgium.
Mar 4, 2024 Book review Automated Essay Scoring by Beata Beigman Klebanov and Nitin Madnani accepted for publication in Computational Linguistics.
Feb 21, 2024 Our ITEC team ranked second and fourth in predicting response time and difficulty of medical exam questions during the BEA 2024 Shared Task.

selected publications

  1. Tack, Anaïs, Ekaterina Kochmar, Zheng Yuan, Serge Bibauw & Chris Piech. 2023. The BEA 2023 Shared Task on Generating AI Teacher Responses in Educational Dialogues. In Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, vol. 18, 785–795. Toronto, Canada: Association for Computational Linguistics. (11 July, 2023).
  2. Tack, Anaïs & Chris Piech. 2022. The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialogues. In Antonija Mitrovic & Nigel Bosch (eds.), Proceedings of the 15th International Conference on Educational Data Mining, vol. 15, 522–529. Durham, United Kingdom: International Educational Data Mining Society.
  3. Tack, Anaïs. 2021. Mark My Words! On the Automated Prediction of Lexical Difficulty for Foreign Language Readers. Louvain-la-Neuve, Belgium: UCLouvain & KU Leuven PhD thesis.
  4. Tack, Anaïs, Thomas François, Piet Desmet & Cédrick Fairon. 2018. NT2Lex: A CEFR-Graded Lexical Resource for Dutch as a Foreign Language Linked to Open Dutch WordNet. In Joel Tetreault, Jill Burstein, Ekaterina Kochmar, Claudia Leacock & Helen Yannakoudakis (eds.), Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, vol. 13, 137–146. New Orleans, Louisiana: Association for Computational Linguistics. (1 June, 2018).
  5. Tack, Anaïs, Thomas François, Sophie Roekhaut & Cédrick Fairon. 2017. Human and Automated CEFR-based Grading of Short Answers. In Joel Tetreault, Jill Burstein, Claudia Leacock & Helen Yannakoudakis (eds.), Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications, vol. 12, 169–179. Copenhagen, Denmark: Association for Computational Linguistics.
  6. Tack, Anaïs, Thomas François, Anne-Laure Ligozat & Cédrick Fairon. 2016. Modèles adaptatifs pour prédire automatiquement la compétence lexicale d’un apprenant de français langue étrangère. In Laurence Danlos & Thierry Hamon (eds.), Actes de la conférence conjointe JEP-TALN-RECITAL 2016. volume 2 : TALN (Articles longs), vol. 23, 221–234. Paris, France: AFCP - ATALA.