🧑‍🔬 Daniel Beck

🏛️ Affiliations

🎓RMIT UniversityMelbourne · Australia2024–2026 · 5 papersEmployment since 2024 · Senior Lecturer, School of Computing Technologiescurrent🎓The University of MelbourneMelbourne · Australia2016–2024 · 19 papersEmployment 2016–2019 · Research Fellow, School of Computing and Information SystemsEmployment 2019–2024 · Lecturer, School of Computing and Information Systems🎓University of SheffieldSheffield · United Kingdom2013–2017 · 14 papersEducation 2013–2017 · PhD, Department of Computer Science🎓Universidade Federal de São CarlosSão Carlos · Brazil2010–2012 · 2 papersEducation 2010–2012 · MSc, Departamento de Computação🎓Universidade Federal do Rio Grande do SulPorto Alegre · Brazil2004–2009Education 2004–2009 · BSc, Instituto de Informática

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Graph-to-Sequence Learning using Gated Graph Neural Networks (2018 · 459 citations)
   Many NLP tasks require turning a graph into text. Examples include generating sentences from semantic graphs or translating a source sentence annotated with a syntactic tree. Earlier methods had drawbacks. Grammar-based systems need node–token alignments, and linearising the graph throws away structure. Earlier…
2. Uncertainty Estimation and Reduction of Pre-trained Models for Text Regression (2022 · 49 citations)
   Pre-trained language models used for text regression tend to be overconfident when they are wrong. This limits their use in high-stakes areas such as clinical decision support. Calibration work in NLP has mostly targeted classifiers, so Wang et al. study how well regression models built on pre-trained LMs can express…
3. FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness Evaluation (2026 · 1 citation)
   Benchmark scores often hide how fragile NLP systems are when the input changes in small, meaning-controlled ways.

All works

8 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Graph-to-Sequence Learning using Gated Graph Neural NetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Daniel Beck, Gholamreza Haffari, Trevor Cohn2018 · 459 citations
2. Uncertainty Estimation and Reduction of Pre-trained Models for Text RegressionTransactions of the Association for Computational Linguistics (TACL)Yuxia Wang, Daniel Beck, Timothy Baldwin, et al.2022 · 49 citations
3. SHEF-Lite: When Less is More for Translation Quality Estimation ↗Proceedings of the Eighth Workshop on Statistical Machine Translation · no summary yetDaniel Beck et al.2013 · 30 citations
4. SHEF-NN: Translation Quality Estimation with Neural Networks ↗Proceedings of the Tenth Workshop on Statistical Machine Translation · no summary yetKashif Shah et al.2015 · 27 citations
5. Exploring Prediction Uncertainty in Machine Translation Quality Estimation ↗Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning · no summary yetDaniel Beck, Lucia Specia, Trevor Cohn2016 · 22 citations
6. SHEF-Lite 2.0: Sparse Multi-task Gaussian Processes for Translation Quality Estimation ↗Proceedings of the Ninth Workshop on Statistical Machine Translation · no summary yetDaniel Beck, Kashif Shah, Lucia Specia2014 · 16 citations
7. Syntax-based Statistical Machine Translation using Tree Automata and Tree Transducers ↗Proceedings of the ACL 2011 Student Session · no summary yetBeck, Daniel Emilio2011 · 2 citations
8. FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness EvaluationFindings of the Association for Computational LinguisticsYulia Otmakhova, Thinh Hung Truong, Rahmad Mahendra, et al.2026 · 1 citation

🤝 Co-authors here

10 co-authors with a page, the most papers together first.

• Gholamreza Haffari
• Jey Han Lau
• Karin Verspoor
• Rahmad Mahendra
• Rongxin Zhu
• Thinh Hung Truong
• Timothy Baldwin
• Trevor Cohn
• Yulia Otmakhova
• Yuxia Wang

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Proceedings of the Eighth Workshop on Statistical Machine Translation ×3
• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2018
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• Transactions of the Association for Computational Linguistics (TACL): Transactions of the Association for Computational Linguistics (TACL) 2022
• Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning
• Proceedings of the ACL 2011 Student Session

🔗 Cited by

Papers of our library cite their works 155 times (of the 149,439 papers whose bibliographies we read); 18 citing papers with a page here →.

Updated 31 October 2026

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/daniel-beck/