Daniel Beck

On the (in)effectiveness of images for text classification

C Ma, A Shen, H Yoshikawa, T Iwakura, D Beck, T Baldwin

Conference Proceedings  |  2021  |  EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference

BOSS: Bayesian optimization over string spaces

HB Moss, D Beck, J González, DS Leslie, P Rayson

Conference Proceedings  |  2020  |  Advances in Neural Information Processing Systems

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  |  Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing / sponsored by the Institute of Electrical and Electronics Engineers Signal Processing Society. ICASSP (Conference)

© 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, ACL 2018, Melbourne, Australia, July 15-20, 2018, Volume 1: Long Papers

Many NLP applications can be framed as a graph-to-sequence learning problem. Previous work proposing neural architectures on this ..

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..