Christopher Davis

I am a postdoctoral researcher in the Natural Language and Information Processing group at the University of Cambridge, and a member of the ALTA Institute. My research focuses on developing computational models for grammatical error detection and correction of second language learner text.

Download: CV

Publications

Conferences

• On the application of Large Language Models for language teaching and assessment technology.
  Andrew Caines, Luca Benedetto, Shiva Taslimipoor, Christopher Davis, Yuan Gao, Øistein E. Andersen, Zheng Yuan, Mark Elliott, Russell Moore, Christopher Bryant, Marek Rei, Helen Yannakoudakis, Andrew Mullooly, Diane Nicholls and Paula Buttery.
  In Proceedings of AIED 2023 Empowering Education with LLMs: the Next-Gen Interface and Content Generation.
• 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)

Workshops

• CLIMB – Curriculum Learning for Infant-inspired Model Building
  Richard Diehl Martinez, Zébulon Goriely^*, Hope McGovern^*, Christopher Davis, Andrew Caines, Paula Buttery, Lisa Beinborn
  BabyLM Challenge @ CoNLL 2023 -- "Most Interesting Paper Award".
• Modelling visual properties and visual context in multimodal semantics
  Christopher Davis, Luana Bulat, Anita Vero, Ekaterina Shutova.
  VIGIL Workshop @ NeurIPS 2018.

Preprints

• Prompting open-source and commercial language models for grammatical error correction of English learner text
  Christopher Davis, Andrew Caines, Øistein Andersen, Shiva Taslimipoor, Helen Yannakoudakis, Zheng Yuan, Christopher Bryant, Marek Rei, and Paula Buttery.
  arXiv 2024

Talks

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

Teaching

• Easter 2020 - Supervisor for Formal Models of Language
• Lent 2020 - Supervisor, demonstrator for Part IA/IB Machine Learning and Real-world Data
• Lent 2019 - Supervisor and lead demonstrator/ticker for Part IA/IB Machine Learning and Real-world Data
• Lent 2018 - Demonstrator/ticker for Part IA/IB Machine Learning and Real-world Data
• Michaelmas 2018 - Demonstrator for Part II Natural Language Processing

External

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

Contact

Email: ccd38@cl.cam.ac.uk
Department of Computer Science and Technology
University of Cambridge
15 JJ Thomson Avenue
Cambridge CB3 0FD