Daniel Beck

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Trevor CohnGoogle Research (Research Scientist) & University of Melbourne (Professor; School of CIS)在 unimelb.edu.au 的电子邮件经过验证
Timothy BaldwinMBZUAI and The University of Melbourne在 unimelb.edu.au 的电子邮件经过验证
Gholamreza (Reza) HaffariMonash University and Openstream AI在 monash.edu 的电子邮件经过验证
Kashif ShahPrincipal Applied Science Manager | Microsoft在 microsoft.com 的电子邮件经过验证
Karin VerspoorExecutive Dean, School of Computing Technologies, RMIT University在 rmit.edu.au 的电子邮件经过验证
Riza Batista-NavarroSenior Lecturer in Text Mining, Department of Computer Science, University of Manchester在 manchester.ac.uk 的电子邮件经过验证
Viktor SchlegelDeputy Director IN-CYPHER Programme @ IGS, Imperial College London在 imperial.ac.uk 的电子邮件经过验证
Aili Shenpostdoc, School of Computing and Information Systems, The University of Melbourne在 unimelb.edu.au 的电子邮件经过验证
Goran NenadicDepartment of Computer Science, University of Manchester在 manchester.ac.uk 的电子邮件经过验证
Hao LiPhD, The University of Manchester, UK在 microsoft.com 的电子邮件经过验证
Tomoya IwakuraFujitsu在 jp.fujitsu.com 的电子邮件经过验证
Hiyori YoshikawaFujitsu Laboratories Ltd.在 jp.fujitsu.com 的电子邮件经过验证
Javier GonzálezMicrosoft Research Cambridge在 microsoft.com 的电子邮件经过验证
David S. LeslieProfessor of Statistical Learning, Lancaster University在 lancaster.ac.uk 的电子邮件经过验证
Henry B MossAssistant Professor, Lancaster University在 lancaster.ac.uk 的电子邮件经过验证
Professor Paul RaysonSchool of Computing and Communications, Lancaster University, UK在 lancaster.ac.uk 的电子邮件经过验证
Gustavo Henrique PaetzoldAdjunct Professor at the Federal University of Technology - Paraná在 utfpr.edu.br 的电子邮件经过验证
Frédéric BlainAssistant Professor in AI at Tilburg University在 tilburguniversity.edu 的电子邮件经过验证
Yiyuan PuThe University of Melbourne在 student.unimelb.edu.au 的电子邮件经过验证
Benjamin GoudeyAustralia BioCommons/University of Melboure在 unimelb.edu.au 的电子邮件经过验证

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Daniel Beck

Senior Lecturer, School of Computing Technologies, RMIT University

在 rmit.edu.au 的电子邮件经过验证 - 首页

Artifical Intelligence Natural Language Processing Machine Learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Graph-to-Sequence Learning using Gated Graph Neural Networks D Beck, G Haffari, T Cohn Proceedings of ACL, 2018	429	2018
BOSS: Bayesian Optimization over String Spaces H Moss, D Beck, J Gonzalez, D Leslie, P Rayson Advances in neural information processing systems 33, 2020	91	2020
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	44	2014
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	34	2015
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	33	2019
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	31	2013
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	30	2022
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	28	2019
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	24	2015
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	23	2016
Learning Kernels over Strings using Gaussian Processes D Beck, T Cohn Proceedings of the Eighth International Joint Conference on Natural Language …, 2017	22	2017
Graph embedding-based link prediction for literature-based discovery in Alzheimer’s Disease Y Pu, D Beck, K Verspoor Journal of Biomedical Informatics 145, 104464, 2023	17	2023
Neural speech translation using lattice transformations and graph networks D Beck, T Cohn, G Haffari Workshop on Graph-Based Methods for Natural Language Processing 2019, 26-31, 2019	17	2019
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	17	2016
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	16	2023
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	15	2014
Modelling Representation Noise in Emotion Analysis using Gaussian Processes D Beck Proceedings of the Eighth International Joint Conference on Natural Language …, 2017	12	2017
PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models H Li, Y Wu, V Schlegel, R Batista-Navarro, TT Nguyen, AR Kashyap, ... arXiv preprint arXiv:2306.02754, 2023	10	2023
Information Extraction from Legal Documents: A Study in the Context of Common Law Court Judgements M Mistica, GZ Zhang, H Chia, KM Shrestha, RK Gupta, S Khandelwal, ... ALTA 2020, 98, 2020	10	2020
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	10	2019

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