Recent publications

  1. Spratley, S.; Beck, D.; Cohn, T. A Unified Neural Architecture for Instrumental Audio Tasks. ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE. 2019, Vol. 2019-May, pp. 461-465. DOI: 10.1109/ICASSP.2019.8682765
  2. Petri, M.; Moffat, A.; Mackenzie, J.; Shane Culpepper, J.; Beck, D. Accelerated query processing via similarity score prediction. Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM Press. 2019, pp. 485-494. DOI: 10.1145/3331184.3331207
  3. Cohn, T.; Haffari, G.; Beck, D. Graph-to-Sequence Learning using Gated Graph Neural Networks. ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers). ACL Anthology. 2018, Vol. 1, pp. 273-283.
  4. Beck, D. Gaussian Process for Text Regression. . 2017.
  5. 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.
  6. Beck, D. Modelling Representation Noise in Emotion Analysis using Gaussian Processes. Proceedings of IJCNLP. Asian Federation of Natural Language Processing. 2017, pp. 140-145.
  7. Beck, D.; Specia, L.; Cohn, T. Exploring Prediction Uncertainty in Machine Translation Quality Estimation. CoNLL 2016 - 20th SIGNLL Conference on Computational Natural Language Learning, Proceedings. ACL Anthology. 2016, pp. 208-218.
  8. 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.
  9. Beck, D.; De Gispert, A.; Iglesias, G.; Waite, A.; Byrne, B. Speed-constrained tuning for statistical machine translation using Bayesian optimization. 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016 - Proceedings of the Conference. 2016, pp. 856-865.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. Beck, D. Bayesian Kernel Methods for Natural Language Processing. Proceedings of ACL Student Research Workshop. Association for Computational Linguistics (ACL). 2014, pp. 1-9.
  16. Beck, D.; Cohn, T.; Specia, L. Joint Emotion Analysis via Multi-task Gaussian Processes. EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics. 2014, pp. 1798-1803.
  17. 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.
  18. Beck, D.; Specia, L.; Cohn, T. Reducing Annotation Effort for Quality Estimation via Active Learning. Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics. ACL Anthology. 2013, Vol. 2, pp. 543-548.
  19. Beck, D.; Shah, K.; Cohn, T.; Specia, L. SHEF-Lite : When Less is More for Translation Quality Estimation. Proceedings of the Eighth Workshop on Statistical Machine Translation. ACL Anthology. 2013, pp. 337-342.
  20. 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.

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