Daniel Beck

Publication Activity (10 Years)

Years Active: 2006-2023
Publications (10 Years): 37

Top Topics

Gaussian Process

Neural Architecture

Quality Estimation

Disease Progression

Top Venues

Trans. Assoc. Comput. Linguistics

Publications

Hao Li, Yu-Ping Wu, Viktor Schlegel, Riza Batista-Navarro, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Xiao-Jun Zeng, Daniel Beck, Stefan Winkler, Goran Nenadic
PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models. CoRR (2023)
Yulong Wu, Viktor Schlegel, Daniel Beck, Riza Batista-Navarro
MMT's Submission for the WMT 2023 Quality Estimation Shared Task. WMT (2023)
Hao Li, Yu-Ping Wu, Viktor Schlegel, Riza Batista-Navarro, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Xiao-Jun Zeng, Daniel Beck, Stefan Winkler, Goran Nenadic
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. BioNLP@ACL (2023)
Viktor Schlegel, Hao Li, Yu-Ping Wu, Anand Subramanian, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Daniel Beck, Xiao-Jun Zeng, Riza Theresa Batista-Navarro, Stefan Winkler, Goran Nenadic
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records. CLEF (Working Notes) (2023)
Martin Saint-Jalmes, Victor Fedyashov, Daniel Beck, Timothy Baldwin, Noel G. Faux, Pierrick Bourgeat, Jurgen Fripp, Colin L. Masters, Benjamin Goudey
Disease progression modelling of Alzheimer's disease using probabilistic principal components analysis. NeuroImage 278 (2023)
Yiyuan Pu, Daniel Beck, Karin Verspoor
Graph embedding-based link prediction for literature-based discovery in Alzheimer's Disease. J. Biomed. Informatics 145 (2023)
Yingjin Song, Daniel Beck
Modelling Emotion Dynamics in Song Lyrics with State Space Models. Trans. Assoc. Comput. Linguistics 11 (2023)
Viktor Schlegel, Hao Li, Yu-Ping Wu, Anand Subramanian, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Daniel Beck, Xiao-Jun Zeng, Riza Theresa Batista-Navarro, Stefan Winkler, Goran Nenadic
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records. CoRR (2023)
Chunpeng Ma, Aili Shen, Hiyori Yoshikawa, Tomoya Iwakura, Daniel Beck, Timothy Baldwin
On the Effectiveness of Images in Multi-modal Text Classification: An Annotation Study. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22 (3) (2023)
Steven Nguyen Fataliyev, Daniel Beck, Katja Hölttä-Otto
Predicting Empathic Accuracy from User-Designer Interviews. ALTA (2023)
Viktoria Schram, Daniel Beck, Trevor Cohn
Performance Prediction via Bayesian Matrix Factorisation for Multilingual Natural Language Processing Tasks. EACL (2023)
Yingjin Song, Daniel Beck
Modelling Emotion Dynamics in Song Lyrics with State Space Models. CoRR (2022)
Yuxia Wang, Daniel Beck, Karin Verspoor, Timothy Baldwin
Uncertainty Estimation and Reduction of Pre-trained Models for Text Regression. Trans. Assoc. Comput. Linguistics 10 (2022)
Chunpeng Ma, Aili Shen, Hiyori Yoshikawa, Tomoya Iwakura, Daniel Beck, Timothy Baldwin
On the (In)Effectiveness of Images for Text Classification. EACL (2021)
Jiuzhou Han, Daniel Beck, Trevor Cohn
Generating Diverse Descriptions from Semantic Graphs. INLG (2021)
Pegah Mavaie, Lawrence Holder, Daniel Beck, Michael K. Skinner
Predicting environmentally responsive transgenerational differential DNA methylated regions (epimutations) in the genome using a hybrid deep-machine learning approach. BMC Bioinform. 22 (1) (2021)
Jiuzhou Han, Daniel Beck, Trevor Cohn
Generating Diverse Descriptions from Semantic Graphs. CoRR (2021)
Henry B. Moss, David S. Leslie, Daniel Beck, Javier Gonzalez, Paul Rayson
BOSS: Bayesian Optimization over String Spaces. NeurIPS (2020)
Henry B. Moss, Daniel Beck, Javier Gonzalez, David S. Leslie, Paul Rayson
BOSS: Bayesian Optimization over String Spaces. CoRR (2020)
Aili Shen, Daniel Beck, Bahar Salehi, Jianzhong Qi, Timothy Baldwin
Modelling Uncertainty in Collaborative Document Quality Assessment. W-NUT@EMNLP (2019)
Matthias Petri, Alistair Moffat, Joel M. Mackenzie, J. Shane Culpepper, Daniel Beck
Accelerated Query Processing Via Similarity Score Prediction. SIGIR (2019)
Steven Spratley, Daniel Beck, Trevor Cohn
A Unified Neural Architecture for Instrumental Audio Tasks. ICASSP (2019)
Daniel Beck, Trevor Cohn, Gholamreza Haffari
Neural Speech Translation using Lattice Transformations and Graph Networks. TextGraphs@EMNLP (2019)
Dalin Wang, Daniel Beck, Trevor Cohn
On the Role of Scene Graphs in Image Captioning. LANTERN@EMNLP-IJCNLP (2019)
Steven Spratley, Daniel Beck, Trevor Cohn
A Unified Neural Architecture for Instrumental Audio Tasks. CoRR (2019)
Christoph Fuchs, Daniel Beck, Bernhard Lienland, Florian Kellner
The role of IT in automotive supplier supply chains. J. Enterp. Inf. Manag. 31 (1) (2018)
Daniel Beck, Gholamreza Haffari, Trevor Cohn
Graph-to-Sequence Learning using Gated Graph Neural Networks. ACL (1) (2018)
Daniel Beck, Gholamreza Haffari, Trevor Cohn
Graph-to-Sequence Learning using Gated Graph Neural Networks. CoRR (2018)
Daniel Beck, Trevor Cohn
Learning Kernels over Strings using Gaussian Processes. IJCNLP(2) (2017)
Daniel Beck
Modelling Representation Noise in Emotion Analysis using Gaussian Processes. IJCNLP(2) (2017)
Daniel Beck, Adrià de Gispert, Gonzalo Iglesias, Aurelien Waite, Bill Byrne
Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization. HLT-NAACL (2016)
Daniel Beck, Lucia Specia, Trevor Cohn
Exploring Prediction Uncertainty in Machine Translation Quality Estimation. CoRR (2016)
Carolina Scarton, Daniel Beck, Kashif Shah, Karin Sim Smith, Lucia Specia
Word embeddings and discourse information for Quality Estimation. WMT (2016)
Daniel Beck, Andreas Vlachos, Gustavo Paetzold, Lucia Specia
SHEF-MIME: Word-level Quality Estimation Using Imitation Learning. WMT (2016)
Ahmet Aker, Frédéric Blain, Andrés Duque, Marina Fomicheva, Jurica Seva, Kashif Shah, Daniel Beck
USFD at SemEval-2016 Task 1: Putting different State-of-the-Arts into a Box. SemEval@NAACL-HLT (2016)
Daniel Beck, Lucia Specia, Trevor Cohn
Exploring Prediction Uncertainty in Machine Translation Quality Estimation. CoNLL (2016)
Daniel Beck, Adrià de Gispert, Gonzalo Iglesias, Aurelien Waite, Bill Byrne
Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization. CoRR (2016)
Daniel Beck, James A. Foster
Machine learning classifiers provide insight into the relationship between microbial communities and bacterial vaginosis. BioData Min. 8 (2015)
Daniel Beck, Trevor Cohn, Christian Hardmeier, Lucia Specia
Learning Structural Kernels for Natural Language Processing. CoRR (2015)
Kashif Shah, Varvara Logacheva, Gustavo Paetzold, Frédéric Blain, Daniel Beck, Fethi Bougares, Lucia Specia
SHEF-NN: Translation Quality Estimation with Neural Networks. WMT@EMNLP (2015)
Daniel Beck, Trevor Cohn, Christian Hardmeier, Lucia Specia
Learning Structural Kernels for Natural Language Processing. Trans. Assoc. Comput. Linguistics 3 (2015)
Daniel Beck, Christopher Dennis, James A. Foster
Seed: a user-friendly tool for exploring and visualizing microbial community data. Bioinform. 31 (4) (2015)
Daniel Beck, Kashif Shah, Lucia Specia
SHEF-Lite 2.0: Sparse Multi-task Gaussian Processes for Translation Quality Estimation. WMT@ACL (2014)
Yolanda S. Baker, Rajeev Agrawal, James A. Foster, Daniel Beck, Gerry V. Dozier
Detecting bacterial vaginosis using machine learning. ACM Southeast Regional Conference (2014)
Yolanda S. Baker, Rajeev Agrawal, James A. Foster, Daniel Beck, Gerry V. Dozier
Applying machine learning techniques in detecting Bacterial Vaginosis. ICMLC (2014)
Daniel Beck
Bayesian Kernel Methods for Natural Language Processing. ACL (Student Research Workshop) (2014)
Daniel Beck, Trevor Cohn, Lucia Specia
Joint Emotion Analysis via Multi-task Gaussian Processes. EMNLP (2014)
Joi Carter, Daniel Beck, Henry Williams, Gerry V. Dozier, James A. Foster
GA-based selection of vaginal microbiome features associated with bacterial vaginosis. GECCO (2014)
Daniel Beck, Lucia Specia, Trevor Cohn
Reducing Annotation Effort for Quality Estimation via Active Learning. ACL (2) (2013)
Daniel Beck, Kashif Shah, Trevor Cohn, Lucia Specia
SHEF-Lite: When Less is More for Translation Quality Estimation. WMT@ACL (2013)
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, Zaid Abdo
mcaGUI: microbial community analysis R-Graphical User Interface (GUI). Bioinform. 28 (16) (2012)
Daniel Beck, Gerhard Lakemeyer
Representing Value Functions with Recurrent Binary Decision Diagrams. ECAI (2012)
Christoph Schwering, Daniel Beck, Stefan Schiffer, Gerhard Lakemeyer
Plan Recognition by Program Execution in Continuous Temporal Domains. KI (2012)
Daniel Beck, Gerhard Lakemeyer
Reinforcement learning for Golog programs with first-order state-abstraction. Log. J. IGPL 20 (5) (2012)
Christoph Schwering, Daniel Beck, Stefan Schiffer, Gerhard Lakemeyer
Plan Recognition by Program Execution in Continuous Temporal Domains. CogRob@AAAI (2012)
Daniel Beck, Matt Settles, James A. Foster
OTUbase: an R infrastructure package for operational taxonomic unit data. Bioinform. 27 (12) (2011)
Tim Niemüller, Alexander Ferrein, Daniel Beck, Gerhard Lakemeyer
Design Principles of the Component-Based Robot Software Framework Fawkes. SIMPAR (2010)
Stefan Jacobs, Alexander Ferrein, Stefan Schiffer, Daniel Beck, Gerhard Lakemeyer
Robust Collision Avoidance in Unknown Domestic Environments. RoboCup (2009)
Daniel Beck, Alexander Ferrein, Gerhard Lakemeyer
Landmark-Based Representations for Navigating Holonomic Soccer Robots. RoboCup (2008)
Daniel Beck, Alexander Ferrein, Gerhard Lakemeyer
A Simulation Environment for Middle-Size Robots with Multi-level Abstraction. RoboCup (2007)
Ulrich Schäfer, Daniel Beck
Automatic Testing and Evaluation of Multilingual Language Technology Resources and Components. LREC (2006)