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Chris Emmery, MSc

 https://orcid.org/0000-0002-2179-559X
20142019

Research output per year

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Personal profile

Research interests

My research focusses on machine-driven online 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 online 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.

Keywords

  • Computational Linguistics
  • Machine Learning
  • Natural Language Processing
  • Data Mining
  • Text Mining

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Research Output

Towards Replication in Computational Cognitive Modeling: A Machine Learning Perspective

Emmery, C., Kádár, Á., Wiltshire, T. J. & Hendrickson, A. T., 31 Jul 2019, In : Computational Brain & Behavior.

Research output: Contribution to journal › Review article › Scientific › peer-review

Open Access

    • Style Obfuscation by Invariance

    Emmery, C., Manjavacas, E. & Chrupala, G., Aug 2018, COLING 2018. Association for Computational Linguistics, 12 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

    Open Access

    • Simple Queries as Distant Labels for Detecting Gender on Twitter

    Emmery, C., Chrupala, G. & Daelemans, W., 2017, Proceedings of the 3rd Workshop on Noisy User-generated Text. Association for Computational Linguistics, p. 50-55 5 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

    Open Access

    Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource

    Tulkens, S., Emmery, C. & Daelemans, W., 1 Jul 2016, Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource. Association for Computational Linguistics

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

    Open Access

    • Current Limitations in Cyberbullying Detection: on Evaluation Criteria, Reproducibility, and Data Scarcity

    Emmery, C., Verhoeven, B., De Pauw, G., Jacobs, G., Van Hee, C., Lefever, E., Desmet, B., Hoste, V. & Daelemans, W., 25 Oct 2019, In : arXiv. 26 p.

    Research output: Contribution to journal › Article › Scientific

    • Activities

    • 3 Invited talk
    • 1 Organising a conference

    Tax & Technology - Data Quality Lecture

    Chris Emmery (Speaker)

    11 Oct 2019

    Activity: Talk or presentation types › Invited talk › Professional

    Top Class AI and the Criminal Justice System - Introduction to AI Lecture

    Chris Emmery (Speaker)

    1 Mar 2019

    Activity: Talk or presentation types › Invited talk › Scientific

    Tax & Technology - Data Quality Lecture

    Chris Emmery (Speaker)

    28 Sep 2018

    Activity: Talk or presentation types › Invited talk › Professional

    ATILA 2017

    M.A. Conijn (Contributor), , Menno van Zaanen (Contributor), , Lieke Gelderloos (Contributor), , Chris Emmery (Contributor), & Jan de Wit (Contributor)

    16 Nov 2017 → 17 Nov 2017

    Activity: Participating in or organising an event types › Organising a conference › Scientific