Daniel Beck

Accelerated query processing via similarity score prediction

M Petri, A Moffat, J Mackenzie, J Shane Culpepper, D Beck

Conference Proceedings  |  2019  |  Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval

Publication rights licensed to ACM. Processing top-k bag-of-words queries is critical to many information retrieval applications, ..

A Unified Neural Architecture for Instrumental Audio Tasks

S Spratley, D Beck, T Cohn

Conference Proceedings  |  2019  |  ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

© 2019 IEEE. Within Music Information Retrieval (MIR), prominent tasks - including pitch-tracking, source-separation, super-resolu..

Neural Speech Translation using Lattice Transformations and Graph Networks

Daniel Beck, Trevor Cohn, Gholamreza Haffari

Conference Proceedings  |  2019  |  Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13)

Speech translation systems usually follow a pipeline approach, using word lattices as an intermediate representation. However, pre..

Modelling Uncertainty in Collaborative Document Quality Assessment

Aili Shen, Daniel Beck, Bahar Salehi, Jianzhong Qi, Timothy Baldwin

Conference Proceedings  |  2019  |  Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019)

In the context of document quality assessment, previous work has mainly focused on predicting the quality of a document relative t..

Graph-to-Sequence Learning using Gated Graph Neural Networks

Trevor Cohn, Gholamreza Haffari, Daniel Beck

Conference Proceedings  |  2018  |  Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Gaussian processes for text regression

D Beck

Thesis / Dissertation  |  2018

Modelling Representation Noise in Emotion Analysis using Gaussian Processes

Daniel Beck

Conference Proceedings  |  2017  |  Proceedings of IJCNLP

Emotion Analysis is the task of modelling la-tent emotions present in natural language. La-belled datasets for this task are scarc..

Learning Kernels over Strings using Gaussian Processes

Daniel Beck, Trevor Cohn

Conference Proceedings  |  2017  |  Proceedings of IJCNLP

Non-contiguous word sequences are widely known to be important in mod-elling natural language. However they are not explicitly enc..

Speed-constrained tuning for statistical machine translation using Bayesian optimization

D Beck, A De Gispert, G Iglesias, A Waite, B Byrne

Conference Proceedings  |  2016  |  Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Exploring Prediction Uncertainty in Machine Translation Quality Estimation

Daniel Beck, Lucia Specia, Trevor Cohn

Conference Proceedings  |  2016  |  CoNLL 2016 - 20th SIGNLL Conference on Computational Natural Language Learning, Proceedings