Research Output per year
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.
Current courses
Click here for my courses.
Keywords
- Computational Linguistics
- Machine Learning
- Natural Language Processing
- Data Mining
- Text Mining
Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
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Classifiers
Engineering & Materials Science
Computational methods
Engineering & Materials Science
Invariance
Engineering & Materials Science
Linguistics
Engineering & Materials Science
Intelligent systems
Engineering & Materials Science
Experiments
Engineering & Materials Science
Semantics
Engineering & Materials Science
Support vector machines
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2014 2018
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
Invariance
Semantics
Classifiers
Experiments
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 LinguisticsResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open Access
Linguistics
Glossaries
Attribute Obfuscation with Gradient Reversal
Emmery, C., Manjavacas, E. & Chrupala, G., Jan 2018.Research output: Contribution to conference › Abstract › Other research output
Computational methods
Classifiers
Education
Health
Economics
Automatic detection of cyberbullying in social media text
Van Hee, C., Jacobs, G., Emmery, C., Desmet, B., Lefever, E., Verhoeven, B., De Pauw, G., Daelemans, W. & Hoste, V., Oct 2018, In : PLoS ONE. 22 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access
Intelligent systems
Support vector machines
Classifiers
Experiments
Communication
Activities 2017 2019
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