Department of Computer Science and Technology

Christopher Davis

Picture of Christopher Davis

I am a final year PhD student at the University of Cambridge Computer Lab, supervised by Prof Paula Buttery within the Natural Language and Information Processing group. My current research focuses on computational models for grammatical error detection and its applications to computer-aided language learning systems. I am also a member of Darwin College.



  • Probing for targeted syntactic knowledge through grammatical error detection.
    Christopher Davis, Christopher Bryant, Andrew Caines, Marek Rei, Paula Buttery.
    Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL 2022)
  • Multi-class grammatical error detection for correction: a tale of two systems.
    Zheng Yuan, Shiva Taslimpoor, Christopher Davis, Christopher Bryant.
    Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP-2021).
  • Deconstructing multimodality: visual properties and visual context in human semantic processing.
    Christopher Davis, Luana Bulat, Anita Vero, Ekaterina Shutova.
    Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)
  • Accurate modelling of language learning tasks and students using representations of grammatical proficiency.
    Ahmed Zaidi, Andrew Caines, Christopher Davis, Russell Moore, Paula Buttery and Andrew Rice.
    Educational Data Mining (EDM) 2019
  • CAMsterdam at SemEval-2019 Task 6: neural and graph-based feature extraction for the identification of offensive tweets.
    Guy Aglionby, Christopher Davis, Pushkar Mishra, Andrew Caines, Helen Yannakoudakis, Marek Rei, Ekaterina Shutova and Paula Buttery.
    In Proceedings of the International Workshop on Semantic Evaluation 2019 (SemEval 2019)


  • Modelling visual properties and visual context in multimodal semantics
    Christopher Davis, Luana Bulat, Anita Vero, Ekaterina Shutova.
    VIGIL Workshop @ NeurIPS 2018.


  • Improving grammatical error detection for learner English text using first-language specific priors.
    Language Sciences Research Symposium for Early-career Researchers. 2019.



Tutor for the Neural Networks and Natural Language Processing modules in the Cambridge Spark Applied Data Science London Bootcamp to industry professionals.


Department of Computer Science and Technology
University of Cambridge
15 JJ Thomson Avenue
Cambridge CB3 0FD

Last updated Sep. 2022.