I am currently a third-year PhD student in Computer Science based at the Alan Turing Institute in London. My research interests include information retrieval and computer-assisted language learning. In my PhD project, I am developing machine learning algorithms for community-based question answering and text summarisation. I am particularly interested in applying these methods in real-world educational applications.
Natural Language Processing, Machine Learning, Neural Networks, NLP for Education
- Nicole Peinelt, Maria Liakata, Dong Nguyen (2019): Aiming beyond the Obvious - Identifying Non-Obvious Cases in Semantic Similarity Datasets. To be presented at ACL 2019.
- 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]
- I am organising the Natural Language Processing Reading Group at the Alan Turing Institute.
- 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
- 2016 Summer research intern at the Natural Language Processing Lab, Academia Sinica, Taiwan
- 2014 - 2015 Visiting research student at the Lab of Ontologies, Language Processing and e-Humanities, National Taiwan University, Taiwan
- 2011 - 2012 Language exchange student at Yunnan Normal University, China