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Daniel Beck
Daniel Beck
Senior Lecturer, School of Computing Technologies, RMIT University
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Graph-to-Sequence Learning using Gated Graph Neural Networks
D Beck, G Haffari, T Cohn
Proceedings of ACL, 2018
3942018
BOSS: Bayesian Optimization over String Spaces
H Moss, D Beck, J Gonzalez, D Leslie, P Rayson
Advances in neural information processing systems 33, 2020
722020
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
422014
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
352015
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
312013
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
262019
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
242019
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
242015
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
212016
Learning Kernels over Strings using Gaussian Processes
D Beck, T Cohn
Proceedings of the Eighth International Joint Conference on Natural Language ¡¦, 2017
192017
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
172022
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
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
162014
Mmt¡¯s submission for the wmt 2023 quality estimation shared task
Y Wu, V Schlegel, D Beck, RT Batista-Navarro
Proceedings of the Eighth Conference on Machine Translation, 856-862, 2023
152023
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
122019
Modelling Representation Noise in Emotion Analysis using Gaussian Processes
D Beck
Proceedings of the Eighth International Joint Conference on Natural Language ¡¦, 2017
122017
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
102013
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
92019
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
62019
Disease progression modelling of Alzheimer¡¯s disease using probabilistic principal components analysis
M Saint-Jalmes, V Fedyashov, D Beck, T Baldwin, NG Faux, P Bourgeat, ...
NeuroImage 278, 120279, 2023
52023
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