Chris Emmery, MSc

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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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Classifiers Engineering & Materials Science

Computational methods Engineering & Materials Science

Invariance Engineering & Materials Science

Linguistics Engineering & Materials Science

Experiments Engineering & Materials Science

Intelligent systems Engineering & Materials Science

Semantics Engineering & Materials Science

learning Social Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2014 2019

4 Conference contribution
2 Article
1 Abstract
1 Review article
1 More
- 1 Working paper

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

learning

cultural change

science

best practice

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 Linguistics

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

Open Access

Linguistics

Glossaries