Computer Laboratory

Zheng Yuan

I am a Research Associate in the Natural Language and Information Processing (NLIP) group at the Computer Laboratory of the University of Cambridge, working with Prof. Ted Briscoe. I have recently finished my PhD in the NLIP group of the University of Cambridge, which focused on grammatical error detection and correction for learners of English as a second language.

Before that, I gained an MPhil Degree in Advanced Computer Science from the University of Cambridge. I received a BSc(Eng) Degree in Telecommunications Engineering with Management from Queen Mary University of London and Beijing University of Posts and Telecommunications.

Research interests

  • Natural language processing
  • Machine learning
  • Neural networks and deep learning
  • Educational NLP applications
  • Statistical/neural machine translation
  • NLP for social media

Publications

  • Marek Rei, Mariano Felice, Zheng Yuan and Ted Briscoe. 2017. Artificial Error Generation with Machine Translation and Syntactic Patterns. In Proceedings of the 12th Workshop on Innovative Use of NLP for Building Educational Applications (BEA-2017). Copenhagen, Denmark. [pdf]
  • Helen Yannakoudakis, Marek Rei, Øistein E. Andersen and Zheng Yuan. 2017. Neural Sequence-Labelling Models for Grammatical Error Correction. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP-2017). Copenhagen, Denmark. [pdf]
  • Zheng Yuan. 2017. Grammatical error correction in non-native English. PhD thesis, UCAM-CL-TR-904, Computer Laboratory, University of Cambridge. [pdf]
  • Zheng Yuan, Ted Briscoe and Mariano Felice. 2016. Candidate re-ranking for SMT-based grammatical error correction. In Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2016), pp. 256 - 266. San Diego, California, USA. [pdf]
  • Zheng Yuan and Ted Briscoe. 2016. Grammatical error correction using neural machine translation. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT 2016), pp. 380 - 386. San Diego, California, USA. [pdf]
  • Zheng Yuan and Matthew Purver. 2015. Predicting Emotion Labels for Chinese Microblog Texts. In M. Gaber et al. (eds.), Advances in Social Media Analysis, pp. 129 - 149, Studies in Computational Intelligence 602, Springer. [publisher's website][draft pdf]
  • Mariano Felice and Zheng Yuan. 2014. To err is human, to correct is divine. In XRDS: Crossroads, The ACM Magazine for Students, vol. 21 num. 1, pp. 22-27. New York, NY. ACM. [publisher's website]
  • Mariano Felice, Zheng Yuan, Øistein E. Andersen, Helen Yannakoudakis and Ekaterina Kochmar. 2014. Grammatical error correction using hybrid systems and type filtering. In Proceedings of the 18th Conference on Computational Natural Language Learning: Shared Task (CoNLL 2014 Shared Task), pp. 15 - 24. Baltimore, Maryland, USA. [pdf]
  • Mariano Felice and Zheng Yuan. 2014. Generating artificial errors for grammatical error correction. In Proceedings of the Student Research Workshop at 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL 14), pp. 116 - 126. Gothenburg, Sweden. [pdf]
  • Zheng Yuan and Mariano Felice. 2013. Constrained grammatical error correction using Statistical Machine Translation. In Proceedings of the 17th Conference on Computational Natural Language Learning: Shared Task (CoNLL 2013 Shared Task), pp. 52 - 61. Sofia, Bulgaria. [pdf]
  • Zheng Yuan and Matthew Purver. 2012. Predicting Emotion Labels for Chinese Microblog Texts. In Proceedings of the ECML-PKDD 2012 Workshop on Sentiment Discovery from Affective Data (SDAD 2012), pp. 40 - 47. Bristol, UK. [pdf]

Teaching

  • 2016/17 - I was co-supervising a Part II project on machine translation system combination for resource poor language pairs, Computer Laboratory, University of Cambridge.
  • Lent 2017 - I was demonstrating and ticking for Machine Learning and Real-world Data, Part IA CST course, Computer Laboratory, University of Cambridge.

Contact

Computer Laboratory
University of Cambridge
William Gates Building
15 JJ Thomson Avenue
Cambridge CB3 0FD, UK
firstname.surname (at) cl.cam.ac.uk
+44 (0)1223 763588