Cortege Tilbrug University

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Bio

I’m a Lecturer at Tilburg University, as well as a joint 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 Data Mining in context of our Data Science master, and before that worked for the AMiCA project. My earlier 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 on two years research time to finish my dissertation, mainly focussing on machine-driven security; or how to apply machine learning to protect users from exposing latent information through their language use.

Expertise

My area of research focusses on machine-driven security; it aims to improve online security by applying machine learning to protect from clear external threats, as well as maintenance of personal security by assisting and informing on latent information-sharing habits. This implies dealing with large volumes of textual and visual information, and thus requires complex multi-modal approaches---specifically from the areas of representation learning---and applying adversarial and generative models, as well as computational representations of semantics in (visual) online communication.

Subjects

Top publications

  1. Style Obfuscation by Invariance

    Emmery, C., Manjavacas, E., & Chrupala, G. (2018). Style Obfuscation by Invariance. In COLING 2018 Association for Computational Linguistics.
  2. 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.
  3. Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource

    Tulkens, S., Emmery, C., & Daelemans, W. (2016). Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource. In Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource Association for Computational Linguistics.

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