Bio

I’m a Lecturer at Tilburg University, as well as a PhD candidate doing research for both the Department of Cognitive Science and Artificial Intelligence at Tilburg and CLiPS at the University of Antwerp under the supervision of Eric Postma, Grzegorz Chrupała, and Walter Daelemans. I previously taught Text Mining and Spatiotemporal Data Analysis and currently teach Data Processing (Python) and Data Mining in the context of our Data Science master, and before that worked for the AMiCA project. My previous research involved scientific development of tools for text forensics and online security such as detection of cyberbullying and child grooming, and author profiling. Currently, I’m finishing my dissertation which mainly focuses on privacy and machine-driven security; or how to apply Machine Learning to protect users from exposing latent information through their language use.

Expertise

I'm interested in the effect of intelligent systems on our lives. Systems that uncover our personal information, monitor and change our behavior, subtly restrict our exposure to information, and treat us unfairly. My current research focuses on the dual-use of computational stylometry; a field that aims to infer information from writing for good, proving harmfully invasive at the same time. My dissertation works toward developing open-source tools to better understand, and defend against such techniques invading one's privacy.

Courses

Top publications

  1. Adversarial Stylometry in the Wild - Transferable Lexical Substitutio…

    Emmery, C., Kádár, Á., & Chrupała, G. (2021). Adversarial Stylometry in the Wild: Transferable Lexical Substitution Attacks on Author Profiling. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers (pp. 2388-2402). Association for Computational Linguistics. https://arxiv.org/abs/2101.11310
  2. Style Obfuscation by Invariance

    Emmery, C., Manjavacas, E., & Chrupala, G. (2018). Style Obfuscation by Invariance. In COLING 2018 Association for Computational Linguistics. https://arxiv.org/abs/1805.07143
  3. Towards Replication in Computational Cognitive Modeling - A Machine L…

    Emmery, C., Kádár, Á., Wiltshire, T. J., & Hendrickson, A. T. (2019). Towards Replication in Computational Cognitive Modeling: A Machine Learning Perspective. Computational Brain & Behavior. ,
  4. Current Limitations in Cyberbullying Detection - on Evaluation Criter…

    Emmery, C., Verhoeven, B., De Pauw, G., Jacobs, G., Van Hee, C., Lefever, E., Desmet, B., Hoste, V., & Daelemans, W. (2020). Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data Scarcity. Language Resources and Evaluation.
  5. Simple Queries as Distant Labels for Detecting Gender on Twitter

    Emmery, C., Chrupala, G., & Daelemans, W. (2017). Simple Queries as Distant Labels for Detecting Gender on Twitter. In Proceedings of the 3rd Workshop on Noisy User-generated Text (pp. 50-55). Association for Computational Linguistics. http://noisy-text.github.io/2017/pdf/WNUT07.pdf

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