Automatic Testing and Evaluation of Multilingual Language Technology Resources and Components. - Ulrich Schäfer 001; Daniel Beck (LREC, 2006)

A Simulation Environment for Middle-Size Robots with Multi-level Abstraction. - Daniel Beck; Alexander Ferrein; Gerhard Lakemeyer (RoboCup, 2007)

Landmark-Based Representations for Navigating Holonomic Soccer Robots. - Daniel Beck; Alexander Ferrein; Gerhard Lakemeyer (RoboCup, 2008)

Robust Collision Avoidance in Unknown Domestic Environments. - Stefan Jacobs 001; Alexander Ferrein; Stefan Schiffer 002; Daniel Beck; Gerhard Lakemeyer (RoboCup, 2009)

Design Principles of the Component-Based Robot Software Framework Fawkes. - Tim Niemüller; Alexander Ferrein; Daniel Beck; Gerhard Lakemeyer (SIMPAR, 2010)

OTUbase: an R infrastructure package for operational taxonomic unit data. - Daniel Beck; Matt Settles; James A. Foster (Bioinform., 2011)

Representing Value Functions with Recurrent Binary Decision Diagrams. - Daniel Beck; Gerhard Lakemeyer (ECAI, 2012)

Plan Recognition by Program Execution in Continuous Temporal Domains. - Christoph Schwering; Daniel Beck; Stefan Schiffer 002; Gerhard Lakemeyer (KI, 2012)

mcaGUI: microbial community analysis R-Graphical User Interface (GUI). - Wade K. Copeland; Vandhana Krishnan; Daniel Beck; Matt Settles; James A. Foster; Kyu-Chul Cho; Mitch Day; Roxana Hickey; Ursel M. E. Schütte; Xia Zhou; Christopher J. Williams; Larry J. Forney; et al. (Bioinform., 2012)

Reinforcement learning for Golog programs with first-order state-abstraction. - Daniel Beck; Gerhard Lakemeyer (Log. J. IGPL, 2012)

Reducing Annotation Effort for Quality Estimation via Active Learning. - Daniel Beck; Lucia Specia; Trevor Cohn (ACL (2), 2013)

SHEF-Lite: When Less is More for Translation Quality Estimation. - Daniel Beck; Kashif Shah; Trevor Cohn; Lucia Specia (WMT@ACL, 2013)

Detecting bacterial vaginosis using machine learning. - Yolanda S. Baker; Rajeev Agrawal; James A. Foster; Daniel Beck; Gerry V. Dozier (ACM Southeast Regional Conference, 2014)

Bayesian Kernel Methods for Natural Language Processing. - Daniel Beck (ACL (Student Research Workshop), 2014)

Joint Emotion Analysis via Multi-task Gaussian Processes. - Daniel Beck; Trevor Cohn; Lucia Specia (EMNLP, 2014)

GA-based selection of vaginal microbiome features associated with bacterial vaginosis. - Joi Carter; Daniel Beck; Henry Williams; Gerry V. Dozier; James A. Foster (GECCO, 2014)

Applying machine learning techniques in detecting Bacterial Vaginosis. - Yolanda S. Baker; Rajeev Agrawal; James A. Foster; Daniel Beck; Gerry V. Dozier (ICMLC, 2014)

SHEF-Lite 2.0: Sparse Multi-task Gaussian Processes for Translation Quality Estimation. - Daniel Beck; Kashif Shah; Lucia Specia (WMT@ACL, 2014)

SHEF-NN: Translation Quality Estimation with Neural Networks. - Kashif Shah; Varvara Logacheva; Gustavo Paetzold; Frédéric Blain; Daniel Beck; Fethi Bougares; Lucia Specia (WMT@EMNLP, 2015)

Machine learning classifiers provide insight into the relationship between microbial communities and bacterial vaginosis. - Daniel Beck; James A. Foster (BioData Min., 2015)

Seed: a user-friendly tool for exploring and visualizing microbial community data. - Daniel Beck; Christopher Dennis; James A. Foster (Bioinform., 2015)

Learning Structural Kernels for Natural Language Processing. - Daniel Beck; Trevor Cohn; Christian Hardmeier; Lucia Specia (Trans. Assoc. Comput. Linguistics, 2015)

Exploring Prediction Uncertainty in Machine Translation Quality Estimation. - Daniel Beck; Lucia Specia; Trevor Cohn (CoNLL, 2016)

Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization. - Daniel Beck; Adrià de Gispert; Gonzalo Iglesias; Aurelien Waite; Bill Byrne (HLT-NAACL, 2016)

USFD at SemEval-2016 Task 1: Putting different State-of-the-Arts into a Box. - Ahmet Aker; Frédéric Blain; Andrés Duque; Marina Fomicheva; Jurica Seva; Kashif Shah; Daniel Beck (SemEval@NAACL-HLT, 2016)

SHEF-MIME: Word-level Quality Estimation Using Imitation Learning. - Daniel Beck; Andreas Vlachos 001; Gustavo Paetzold; Lucia Specia (WMT, 2016)

Word embeddings and discourse information for Quality Estimation. - Carolina Scarton; Daniel Beck; Kashif Shah; Karin Sim Smith; Lucia Specia (WMT, 2016)

Modelling Representation Noise in Emotion Analysis using Gaussian Processes. - Daniel Beck (IJCNLP(2), 2017)

Learning Kernels over Strings using Gaussian Processes. - Daniel Beck; Trevor Cohn (IJCNLP(2), 2017)

Graph-to-Sequence Learning using Gated Graph Neural Networks. - Daniel Beck; Gholamreza Haffari; Trevor Cohn (ACL (1), 2018)

The role of IT in automotive supplier supply chains. - Christoph Fuchs; Daniel Beck; Bernhard Lienland; Florian Kellner (J. Enterp. Inf. Manag., 2018)

Modelling Uncertainty in Collaborative Document Quality Assessment. - Aili Shen; Daniel Beck; Bahar Salehi; Jianzhong Qi 001; Timothy Baldwin (W-NUT@EMNLP, 2019)

On the Role of Scene Graphs in Image Captioning. - Dalin Wang; Daniel Beck; Trevor Cohn (LANTERN@EMNLP-IJCNLP, 2019)

A Unified Neural Architecture for Instrumental Audio Tasks. - Steven Spratley; Daniel Beck; Trevor Cohn (ICASSP, 2019)

Accelerated Query Processing Via Similarity Score Prediction. - Matthias Petri; Alistair Moffat; Joel M. Mackenzie; J. Shane Culpepper; Daniel Beck (SIGIR, 2019)

Neural Speech Translation using Lattice Transformations and Graph Networks. - Daniel Beck; Trevor Cohn; Gholamreza Haffari (TextGraphs@EMNLP, 2019)

Information Extraction from Legal Documents: A Study in the Context of Common Law Court Judgements. - Meladel Mistica; Geordie Z. Zhang; Hui Chia; Kabir Manandhar Shrestha; Rohit Kumar Gupta; Saket Khandelwal; Jeannie Paterson; Timothy Baldwin; Daniel Beck (ALTA, 2020)

BOSS: Bayesian Optimization over String Spaces. - Henry B. Moss; David S. Leslie; Daniel Beck; Javier Gonzalez; Paul Rayson (NeurIPS, 2020)

UOM-FJ at the NTCIR-15 SHINRA2020-ML Task. - Hiyori Yoshikawa; Chunpeng Ma; Aili Shen; Qian Sun; Chenbang Huang; Guillaume Pelat; Akiva Miura; Daniel Beck; Timothy Baldwin; Tomoya Iwakura (NTCIR, 2020)

Evaluating Hierarchical Document Categorisation. - Qian Sun; Aili Shen; Hiyori Yoshikawa; Chunpeng Ma; Daniel Beck; Tomoya Iwakura; Timothy Baldwin (ALTA, 2021)

On the (In)Effectiveness of Images for Text Classification. - Chunpeng Ma; Aili Shen; Hiyori Yoshikawa; Tomoya Iwakura; Daniel Beck; Timothy Baldwin (EACL, 2021)

Generating Diverse Descriptions from Semantic Graphs. - Jiuzhou Han; Daniel Beck; Trevor Cohn (INLG, 2021)

Predicting environmentally responsive transgenerational differential DNA methylated regions (epimutations) in the genome using a hybrid deep-machine learning approach. - Pegah Mavaie; Lawrence Holder; Daniel Beck; Michael K. Skinner (BMC Bioinform., 2021)

Uncertainty Estimation and Reduction of Pre-trained Models for Text Regression. - Yuxia Wang; Daniel Beck; Karin Verspoor; Timothy Baldwin (Trans. Assoc. Comput. Linguistics, 2022)

Predicting Empathic Accuracy from User-Designer Interviews. - Steven Nguyen Fataliyev; Daniel Beck; Katja Hölttä-Otto (ALTA, 2023)

Team: PULSAR at ProbSum 2023: PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models. - Hao Li 074; Yuping Wu 001; Viktor Schlegel; Riza Batista-Navarro; Thanh-Tung Nguyen; Abhinav Ramesh Kashyap; Xiao-Jun Zeng; Daniel Beck; Stefan Winkler 001; Goran Nenadic (BioNLP@ACL, 2023)

PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records. - Viktor Schlegel; Hao Li 074; Yuping Wu 001; Anand Subramanian 004; Thanh-Tung Nguyen; Abhinav Ramesh Kashyap; Daniel Beck; Xiao-Jun Zeng; Riza Theresa Batista-Navarro; Stefan Winkler 001; Goran Nenadic (CLEF (Working Notes), 2023)

Performance Prediction via Bayesian Matrix Factorisation for Multilingual Natural Language Processing Tasks. - Viktoria Schram; Daniel Beck; Trevor Cohn (EACL, 2023)

MMT's Submission for the WMT 2023 Quality Estimation Shared Task. - Yulong Wu; Viktor Schlegel; Daniel Beck; Riza Batista-Navarro (WMT, 2023)

PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models. - Hao Li 074; Yuping Wu 001; Viktor Schlegel; Riza Batista-Navarro; Thanh-Tung Nguyen; Abhinav Ramesh Kashyap; Xiao-Jun Zeng; Daniel Beck; Stefan Winkler 001; Goran Nenadic (CoRR, 2023)

Modelling Emotion Dynamics in Song Lyrics with State Space Models. - Yingjin Song; Daniel Beck (Trans. Assoc. Comput. Linguistics, 2023)

Bedeutung und Nutzen von Predictive Analytics für metallbasierte additive Fertigungssysteme. - Daniel Beck (Shaker, 2023)

On the Effectiveness of Images in Multi-modal Text Classification: An Annotation Study. - Chunpeng Ma; Aili Shen; Hiyori Yoshikawa; Tomoya Iwakura; Daniel Beck; Timothy Baldwin (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Graph embedding-based link prediction for literature-based discovery in Alzheimer's Disease. - Yiyuan Pu; Daniel Beck; Karin Verspoor (J. Biomed. Informatics, 2023)

Disease progression modelling of Alzheimer's disease using probabilistic principal components analysis. - Martin Saint-Jalmes; Victor Fedyashov; Daniel Beck; Timothy Baldwin; Noel G. Faux; Pierrick Bourgeat; Jurgen Fripp; Colin L. Masters; Benjamin Goudey (NeuroImage, 2023)

Intervention extraction in preclinical animal studies of Alzheimer's Disease: Enhancing regex performance with language model-based filtering. - Yiyuan Pu; Kaitlyn Hair; Daniel Beck; Mike Conway; Malcolm MacLeod; Karin Verspoor (BioNLP@ACL, 2024)

FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness Evaluation. - Yulia Otmakhova 001; Hung-Thinh Truong; Rahmad Mahendra; Zenan Zhai; Rongxin Zhu; Daniel Beck; Jey Han Lau (CoRR, 2025)

Enriched knowledge representation in biological fields: a case study of literature-based discovery in Alzheimer's disease. - Yiyuan Pu; Daniel Beck; Karin Verspoor (J. Biomed. Semant., 2025)