Recent publications

  1. Beck, D. Gaussian Process for Text Regression. . 2017.
  2. Beck, D.; Cohn, T. Learning Kernels over Strings using Gaussian Processes. Proceedings of IJCNLP. Asian Federation of Natural Language Processing. 2017, Vol. 2, pp. 67-73.
  3. Beck, D. Modelling Representation Noise in Emotion Analysis using Gaussian Processes. Proceedings of IJCNLP. Asian Federation of Natural Language Processing. 2017, pp. 140-145.
  4. Beck, D.; Specia, L.; Cohn, T. Exploring Prediction Uncertainty in Machine Translation Quality Estimation. Proceedings of CoNLL. ACL Anthology. 2016.
  5. Beck, D.; Vlachos, A.; Paetzold, GH.; Specia, L. SHEF-MIME: Word-level Quality Estimation Using Imitation Learning. Proceedings of WMT16. 2016, Vol. 2, pp. 772-776.
  6. Beck, D.; De Gispert, A.; Iglesias, G.; Waite, A.; Byrne, B. Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization. Proceedings of NAACL. ACL Anthology. 2016, pp. 1-9.
  7. Aker, A.; Blain, F.; Duque, A.; Fomicheva, M.; Seva, J.; Shah, K.; Beck, D. USFD at SemEval-2016 Task 1: Putting different State-of-the-Arts into a Box. Proceedings of SemEval. 2016, pp. 609-613.
  8. Scarton, C.; Beck, D.; Shah, K.; Smith, KS.; Specia, L. Word embeddings and discourse information for Machine Translation Quality Estimation. Proceedings of WMT16. 2016, Vol. 2, pp. 831-837.
  9. Beck, D.; Cohn, T.; Hardmeier, C.; Specia, L. Learning Structural Kernels for Natural Language Processing. Transactions of the Association for Computational Linguistics. 2015, Vol. 3, pp. 461-473.
  10. Shah, K.; Logacheva, V.; Paetzold, GH.; Blain, F.; Beck, D.; Bougares, F.; Specia, L. SHEF-NN : Translation Quality Estimation with Neural Networks. Proceedings of WMT. 2015, pp. 1-6.
  11. Beck, D. Bayesian Kernel Methods for Natural Language Processing. Proceedings of ACL Student Research Workshop. Association for Computational Linguistics (ACL). 2014, pp. 1-9.
  12. Beck, D.; Cohn, T.; Specia, L. Joint emotion analysis via multi-task gaussian processes. Proceedings of EMNLP. Association for Computational Linguistics. 2014, pp. 1798-1803.
  13. Beck, D.; Shah, K.; Specia, L. SHEF-Lite 2.0 : Sparse Multi-task Gaussian Processes for Translation Quality Estimation. Proceedings of WMT14. Association for Computational Linguistics. 2014, pp. 307-312.
  14. Beck, D.; Specia, L.; Cohn, T. Reducing Annotation Effort for Quality Estimation via Active Learning. Proceedings of ACL. ACL Anthology. 2013, Vol. 2, pp. 543-548.
  15. Beck, D.; Shah, K.; Cohn, T.; Specia, L. SHEF-Lite: When Less is More for Translation Quality Estimation. Proceedings of WMT13. ACL Anthology. 2013, pp. 337-342.
  16. Beck, D.; Caseli, H. Tree-based Statistical Machine Translation: Experiments with the English and Brazilian Portuguese Pair. Learning and Nonlinear Models. 2013, Vol. 11, pp. 11-25.
  17. Beck, D.; Caseli, H. Bayesian Induction of Syntactic Language Models for Brazilian Portuguese. Proceedings of PROPOR. 2012, pp. 157-167.
  18. Beck, D.; Caseli, H. Portuguese-English Statistical Machine Translation using Tree Transducers. Proceedings of ENIA. 2012.
  19. Beck, D. Tradução Automática Estatística baseada em Sintaxe e Linguagens de Árvores. . 2012.
  20. Beck, D. Syntax-based statistical machine translation using tree automata and tree transducers. Proceedings of ACL Student Session. 2011, pp. 36-40.

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile