Jan Buys Research Associate Allen Center 278 Paul G. Allen School of Computer Science & Engineering University of Washington jbuys -at- cs.washington.edu GitHub Google Scholar

About

I am a postdoctoral researcher in Natural Language Processing, working with Yejin Choi at the University of Washington. I completed my PhD at the University of Oxford, supervised by Phil Blunsom. Previously I completed a masters degree in Computer Science and undergraduate degrees in Mathematics and Computer Science at the University of Stellenbosch in South Africa.

My research focuses on natural language generation and structured prediction with neural networks. I work on approaches that discover structure in text, which can help us to understand better how language works, as well as to improve practical NLP applications. I am particularly interested in the role of linguistic structure in deep learning models for NLP.

Publications

• Learning to Write with Cooperative Discriminators.
  Ari Holtzman, Jan Buys, Maxwell Forbes, Antoine Bosselut, David Golub and Yejin Choi.
  ACL 2018.
  
  
• Neural Syntactic Generative Models with Exact Marginalization.
  Jan Buys and Phil Blunsom.
  NAACL 2018.
  
  
• Robust Incremental Neural Semantic Graph Parsing.
  Jan Buys and Phil Blunsom.
  ACL 2017.
  
  
• Oxford at SemEval-2017 Task 9: Neural AMR Parsing with Pointer-Augmented Attention.
  Jan Buys and Phil Blunsom.
  SemEval 2017.
  
  
• Online Segment to Segment Neural Transduction.
  Lei Yu, Jan Buys and Phil Blunsom.
  EMNLP 2016.
  
  
• Cross-Lingual Morphological Tagging for Low-Resource Languages.
  Jan Buys and Jan Botha.
  ACL 2016.
  
  
• Generative Incremental Dependency Parsing with Neural Networks.
  Jan Buys and Phil Blunsom.
  ACL 2015 (Short Paper).
  
  
• A Bayesian Model for Generative Transition-based Dependency Parsing.
  Jan Buys and Phil Blunsom.
  Depling 2015.
  
  
• A Tree Transducer Model for Grammatical Error Correction.
  Jan Buys and Brink van der Merwe.
  CoNLL 2013 (Shared Task).
  
  
• Chorale Harmonization with Weighted Finite-state Transducers.
  Jan Buys and Brink van der Merwe.
  Pattern Recognition Society of South Africa (PRASA) 2012.
  
  
• Non-Negative Matrix Factorization for Learning Alignment-Specific Models of Protein Evolution.
  Ben Murrell, Thomas Weighill, Jan Buys, Robert Ketteringham, Sasha Moola, Gerdus Benade, Lise du Buisson, Daniel Kaliski, Tristan Hands and Konrad Scheffler.
  PLoS ONE, 2011.

Theses

• Incremental Generative Models for Syntactic and Semantic Natural Language Processing.
  DPhil thesis, University of Oxford, 2018.
  
  
• Probabilistic Tree Transducers for Grammatical Error Correction.
  MSc thesis, University of Stellenbosch, 2013.
  
  
• Generative Models of Music for Style Imitation and Composer Recognition.
  Honours project report, University of Stellenbosch, 2011.