| Graph-to-Sequence Learning using Gated Graph Neural Networks D Beck, G Haffari, T Cohn Proceedings of ACL, 2018 | 428 | 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 | 94 | 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 | 43 | 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 | 35 | 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 | 34 | 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 | 19 | 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 |
| 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 |
| 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 | 16 | 2016 |
| 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 at mediqa-sum 2023: Large language models augmented by synthetic dialogue convert patient dialogues to medical records V Schlegel, H Li, Y Wu, A Subramanian, TT Nguyen, AR Kashyap, D Beck, ... arXiv preprint arXiv:2307.02006, 2023 | 11 | 2023 |
| 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 |
Trevor CohnGoogle Research (Research Scientist) & University of Melbourne (Professor; School of CIS)unimelb.edu.au의 이메일 확인됨
Timothy BaldwinMBZUAI and The University of Melbourneunimelb.edu.au의 이메일 확인됨
Gholamreza (Reza) HaffariMonash University and Openstream AImonash.edu의 이메일 확인됨
Kashif ShahPrincipal Applied Science Manager | Microsoftmicrosoft.com의 이메일 확인됨
Karin VerspoorExecutive Dean, School of Computing Technologies, RMIT Universityrmit.edu.au의 이메일 확인됨
Riza Batista-NavarroSenior Lecturer in Text Mining, Department of Computer Science, University of Manchestermanchester.ac.uk의 이메일 확인됨
Viktor SchlegelDeputy Director IN-CYPHER Programme @ IGS, Imperial College Londonimperial.ac.uk의 이메일 확인됨
Aili Shenpostdoc, School of Computing and Information Systems, The University of Melbourneunimelb.edu.au의 이메일 확인됨
Goran NenadicDepartment of Computer Science, University of Manchestermanchester.ac.uk의 이메일 확인됨
Hao LiPhD, The University of Manchester, UKmicrosoft.com의 이메일 확인됨
Tomoya IwakuraFujitsujp.fujitsu.com의 이메일 확인됨Javier GonzálezMicrosoft Research Cambridgemicrosoft.com의 이메일 확인됨
David S. LeslieProfessor of Statistical Learning, Lancaster Universitylancaster.ac.uk의 이메일 확인됨
Henry B MossAssistant Professor, Lancaster Universitylancaster.ac.uk의 이메일 확인됨
Professor Paul RaysonSchool of Computing and Communications, Lancaster University, UKlancaster.ac.uk의 이메일 확인됨
Gustavo Henrique PaetzoldAdjunct Professor at the Federal University of Technology - Paranáutfpr.edu.br의 이메일 확인됨
Frédéric BlainAssistant Professor in AI at Tilburg Universitytilburguniversity.edu의 이메일 확인됨
Benjamin GoudeyAustralia BioCommons/University of Melboureunimelb.edu.au의 이메일 확인됨
