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Daniel Beck
Daniel Beck
Lecturer, School of Computing and Information Systems, The University of Melbourne
Verified email at unimelb.edu.au - Homepage
Title
Cited by
Cited by
Year
Graph-to-Sequence Learning using Gated Graph Neural Networks
D Beck, G Haffari, T Cohn
Proceedings of ACL, 2018
3312018
BOSS: Bayesian Optimization over String Spaces
H Moss, D Beck, J Gonzalez, D Leslie, P Rayson
Advances in neural information processing systems 33, 2020
532020
Joint Emotion Analysis via Multi-task Gaussian Processes
D Beck, T Cohn, L Specia
Proceedings of the Conference on Empirical Methods in Natural Language …, 2014
402014
SHEF-NN: Translation Quality Estimation with Neural Networks
K Shah, V Logacheva, GH Paetzold, F Blain, D Beck, F Bougares, ...
Proceedings of the Tenth Workshop on Statistical Machine Translation, 342-347, 2015
322015
SHEF-Lite: When less is more for translation quality estimation
D Beck, K Shah, T Cohn, L Specia
Proceedings of the Eighth Workshop on Statistical Machine Translation, 337-342, 2013
292013
On the Role of Scene Graphs in Image Captioning
D Wang, D Beck, T Cohn
Proceedings of the Beyond Vision and LANguage: inTEgrating Real-world …, 2019
222019
Learning Structural Kernels for Natural Language Processing
D Beck, T Cohn, C Hardmeier, L Specia
Transactions of the Association of Computational Linguistics 3 (1), 2015
222015
Accelerated Query Processing Via Similarity Score Prediction
M Petri, A Moffat, J Mackenzie, JS Culpepper, D Beck
Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019
212019
Learning Kernels over Strings using Gaussian Processes
D Beck, T Cohn
Proceedings of the Eighth International Joint Conference on Natural Language …, 2017
192017
Word embeddings and discourse information for Quality Estimation
C Scarton, D Beck, K Shah, KS Smith, L Specia
Proceedings of the First Conference on Machine Translation: Volume 2, Shared …, 2016
182016
Exploring Prediction Uncertainty in Machine Translation Quality Estimation
D Beck, L Specia, T Cohn
Proceedings of The 20th SIGNLL Conference on Computational Natural Language …, 2016
172016
SHEF-Lite 2.0: Sparse multi-task gaussian processes for translation quality estimation
D Beck, K Shah, L Specia
Proceedings of the Ninth Workshop on Statistical Machine Translation …, 2014
152014
Modelling Representation Noise in Emotion Analysis using Gaussian Processes
D Beck
Proceedings of the Eighth International Joint Conference on Natural Language …, 2017
122017
Neural Speech Translation using Lattice Transformations and Graph Networks
D Beck, T Cohn, G Haffari
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural …, 2019
112019
Reducing Annotation Effort for Quality Estimation via Active Learning
D Beck, L Specia, T Cohn
Proceedings of 51st Annual Meeting of the Association for Computational …, 2013
112013
Modelling Uncertainty in Collaborative Document Quality Assessment
A Shen, D Beck, B Salehi, J Qi, T Baldwin
Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019 …, 2019
72019
A Unified Neural Architecture for Instrumental Audio Tasks
S Spratley, D Beck, T Cohn
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
52019
Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization
D Beck, A de Gispert, G Iglesias, A Waite, B Byrne
Proceedings of the Conference of the North American Chapter of the …, 2016
52016
SHEF-MIME: Word-level Quality Estimation Using Imitation Learning
D Beck, A Vlachos, GH Paetzold, L Specia
Proceedings of the First Conference on Machine Translation, Berlin, Germany …, 2016
52016
Uncertainty Estimation and Reduction of Pre-trained Models for Text Regression
Y Wang, D Beck, T Baldwin, K Verspoor
Transactions of the Association for Computational Linguistics 10, 680-696, 2022
42022
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