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Chris Dyer
Assistant Professor
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My research interests lie at or near the intersection of machine learning, natural language processing, and linguistics. A unifying theme of much of my work is multilinguality. Some current topics of interest are:
Machine translation
Neural network models for language processing
Computational morphology and phonology
NLP on noisy text (Twitter, Sina Weibo, etc.)
Language modeling
Feature induction and representation learning
Unsupervised and semi-supervised learning
Bayesian techniques
Big data algorithms
Probabilistic music models
Machine translation
Neural network models for language processing
Computational morphology and phonology
NLP on noisy text (Twitter, Sina Weibo, etc.)
Language modeling
Feature induction and representation learning
Unsupervised and semi-supervised learning
Bayesian techniques
Big data algorithms
Probabilistic music models
Papers213 papers
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EMNLP, pp.1182-1192, (2020)
Transactions of the Association for Computational Linguistics, (2020): 346-360
Transactions of the Association for Computational Linguistics, (2020): 776-794
Neuropsychologia, pp.107479, (2020)
ACL, pp.2569-2588, (2020)
ACL, pp.2954-2960, (2020)
Dani Yogatama, Cyprien de Masson d'Autume, Jerome Connor, Tomás Kociský,Mike Chrzanowski,Lingpeng Kong, Angeliki Lazaridou,Wang Ling,Lei Yu,Chris Dyer,Phil Blunsom
arXiv: Learning, (2019)
ACL (1), pp.3472-3484, (2019)
ACL (1), pp.2369-2385, (2019)
pp.227-237 (2019)
EIBibtex
EMNLP/IJCNLP (1), pp.5845-5851, (2019)
EIBibtex
Po-Sen Huang, Robert Stanforth, Johannes Welbl,Chris Dyer,Dani Yogatama,Sven Gowal,Krishnamurthy Dvijotham,Pushmeet Kohli
EMNLP/IJCNLP (1), pp.4081-4091, (2019)
Cited by20EIBibtex
arXiv: Computation and Language, (2019)
ACL (1), pp.6429-6441, (2019)
Cited by5EIBibtex
Meeting of the Association for Computational Linguistics, (2019)
Meeting of the Association for Computational Linguistics, (2019)
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