Skip to main content Skip to navigation

Nicole Peinelt

I am a final year PhD student in Computer Science based at The Alan Turing Institute in London. My research interests include Natural Language Processing (NLP) and Computer-Assisted Language Learning (CALL). In my PhD project, I am focussing on semantic similarity and paraphrase detection. This includes analysing properties of existing datasets, thinking about meaningful evaluation metrics and developing novel neural network-based models for this task. I am particularly interested in applying this research to real-world educational applications.

Research Interests

Natural Language Processing, Machine Learning, Neural Networks, NLP for Education

Seminars and Reading Groups

Publications

  • Nicole Peinelt, Maria Liakata, Dong Nguyen (2019): Aiming beyond the Obvious - Identifying Non-Obvious Cases in Semantic Similarity Datasets. Proceedings of the 57th Conference of the Association for Computational Linguistics (ACL 2019), pages 2792 - 2798. [PDF]
  • Nicole Peinelt, Maria Liakata, Shu-Kai Hsieh (2017): ClassifierGuesser - A Context-based Classifier Prediction System for Chinese Language Learners. Proceedings of IJCNLP 2017 (System Demonstrations), pages 41-44. [PDF]
  • Chieh-Yang Huang, Nicole Peinelt, Lun-Wei Ku (2016): Automatically Suggesting Example Sentences of Near-Synonyms for Language Learners. Proceedings of COLING 2016 (System Demonstrations), pages 302-306. [PDF]

    Education

    • 2016 - present: PhD in Computer Science, University of Warwick & Alan Turing Institute, UK
    • 2013 - 2016: MA in Computational Linguistics, University of Trier, Germany
    • 2009 - 2013: BA in Chinese Studies, University of Leipzig, Germany

    International Exchange

    profile picture

    Nicole Peinelt

    The Alan Turing Institute, British Library, London, NW1 2DB