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Daniel Beck
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2020 – today
- 2024
- [c39]Yiyuan Pu, Kaitlyn Hair, Daniel Beck, Mike Conway, Malcolm MacLeod, Karin Verspoor:
Intervention extraction in preclinical animal studies of Alzheimer's Disease: Enhancing regex performance with language model-based filtering. BioNLP@ACL 2024: 486-492 - 2023
- [b1]Daniel Beck:
Bedeutung und Nutzen von Predictive Analytics für metallbasierte additive Fertigungssysteme. Julius Maximilians University Würzburg, Germany, Shaker 2023, ISBN 978-3-8440-9108-3, pp. 1-266 - [j13]Yiyuan Pu
, Daniel Beck
Graph embedding-based link prediction for literature-based discovery in Alzheimer's Disease. J. Biomed. Informatics 145: 104464 (2023) - [j12]Martin Saint-Jalmes
Disease progression modelling of Alzheimer's disease using probabilistic principal components analysis. NeuroImage 278: 120279 (2023) - [j11]Yingjin Song, Daniel Beck:
Modelling Emotion Dynamics in Song Lyrics with State Space Models. Trans. Assoc. Comput. Linguistics 11: 157-175 (2023) - [j10]Chunpeng Ma
On the Effectiveness of Images in Multi-modal Text Classification: An Annotation Study. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(3): 79:1-79:19 (2023) - [c38]Steven Nguyen Fataliyev, Daniel Beck, Katja Hölttä-Otto:
Predicting Empathic Accuracy from User-Designer Interviews. ALTA 2023: 125-129 - [c37]Hao Li
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: 503-509 - [c36]Viktor Schlegel, Hao Li, Yuping 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: 1668-1679 - [c35]Viktoria Schram, Daniel Beck, Trevor Cohn:
Performance Prediction via Bayesian Matrix Factorisation for Multilingual Natural Language Processing Tasks. EACL 2023: 1782-1793 - [c34]Yulong Wu
MMT's Submission for the WMT 2023 Quality Estimation Shared Task. WMT 2023: 856-862 - [i10]Hao Li, Yuping 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 abs/2306.02754 (2023) - [i9]Viktor Schlegel, Hao Li, Yuping 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 abs/2307.02006 (2023) - 2022
- [j9]Yuxia Wang, Daniel Beck, Karin Verspoor
Uncertainty Estimation and Reduction of Pre-trained Models for Text Regression. Trans. Assoc. Comput. Linguistics 10: 680-696 (2022) - [i8]Yingjin Song, Daniel Beck:
Modelling Emotion Dynamics in Song Lyrics with State Space Models. CoRR abs/2210.09434 (2022) - 2021
- [j8]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): 575 (2021) - [c33]Chunpeng Ma, Aili Shen, Hiyori Yoshikawa, Tomoya Iwakura, Daniel Beck, Timothy Baldwin:
On the (In)Effectiveness of Images for Text Classification. EACL 2021: 42-48 - [c32]Jiuzhou Han, Daniel Beck, Trevor Cohn:
Generating Diverse Descriptions from Semantic Graphs. INLG 2021: 1-11 - [i7]Jiuzhou Han, Daniel Beck, Trevor Cohn:
Generating Diverse Descriptions from Semantic Graphs. CoRR abs/2108.05659 (2021) - 2020
- [c31]Henry B. Moss, David S. Leslie, Daniel Beck, Javier Gonzalez, Paul Rayson:
BOSS: Bayesian Optimization over String Spaces. NeurIPS 2020 - [e1]Lucia Specia, Daniel Beck:
Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020 - Tutorial Abstracts, Barcelona, Spain (Online), December 12, 2020. International Committee for Computational Linguistics 2020, ISBN 978-1-952148-30-9 [contents] - [i6]Henry B. Moss, Daniel Beck, Javier Gonzalez, David S. Leslie, Paul Rayson:
BOSS: Bayesian Optimization over String Spaces. CoRR abs/2010.00979 (2020)
2010 – 2019
- 2019
- [c30]Aili Shen, Daniel Beck, Bahar Salehi, Jianzhong Qi
Modelling Uncertainty in Collaborative Document Quality Assessment. W-NUT@EMNLP 2019: 191-201 - [c29]Dalin Wang, Daniel Beck, Trevor Cohn:
On the Role of Scene Graphs in Image Captioning. LANTERN@EMNLP-IJCNLP 2019: 29-34 - [c28]Steven Spratley, Daniel Beck
A Unified Neural Architecture for Instrumental Audio Tasks. ICASSP 2019: 461-465 - [c27]Matthias Petri, Alistair Moffat, Joel M. Mackenzie
Accelerated Query Processing Via Similarity Score Prediction. SIGIR 2019: 485-494 - [c26]Daniel Beck, Trevor Cohn, Gholamreza Haffari:
Neural Speech Translation using Lattice Transformations and Graph Networks. TextGraphs@EMNLP 2019: 26-31 - [i5]Steven Spratley, Daniel Beck, Trevor Cohn:
A Unified Neural Architecture for Instrumental Audio Tasks. CoRR abs/1903.00142 (2019) - 2018
- [j7]Christoph Fuchs, Daniel Beck, Bernhard Lienland, Florian Kellner
The role of IT in automotive supplier supply chains. J. Enterp. Inf. Manag. 31(1): 64-88 (2018) - [c25]Daniel Beck, Gholamreza Haffari, Trevor Cohn:
Graph-to-Sequence Learning using Gated Graph Neural Networks. ACL (1) 2018: 273-283 - [i4]Daniel Beck, Gholamreza Haffari, Trevor Cohn:
Graph-to-Sequence Learning using Gated Graph Neural Networks. CoRR abs/1806.09835 (2018) - 2017
- [c24]Daniel Beck, Trevor Cohn:
Learning Kernels over Strings using Gaussian Processes. IJCNLP(2) 2017: 67-73 - [c23]Daniel Beck:
Modelling Representation Noise in Emotion Analysis using Gaussian Processes. IJCNLP(2) 2017: 140-145 - 2016
- [c22]Daniel Beck, Lucia Specia, Trevor Cohn:
Exploring Prediction Uncertainty in Machine Translation Quality Estimation. CoNLL 2016: 208-218 - [c21]Daniel Beck, Adrià de Gispert, Gonzalo Iglesias, Aurelien Waite, Bill Byrne
Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization. HLT-NAACL 2016: 856-865 - [c20]Ahmet Aker, Frédéric Blain
USFD at SemEval-2016 Task 1: Putting different State-of-the-Arts into a Box. SemEval@NAACL-HLT 2016: 609-613 - [c19]Daniel Beck, Andreas Vlachos
SHEF-MIME: Word-level Quality Estimation Using Imitation Learning. WMT 2016: 772-776 - [c18]Carolina Scarton, Daniel Beck, Kashif Shah, Karin Sim Smith, Lucia Specia:
Word embeddings and discourse information for Quality Estimation. WMT 2016: 831-837 - [i3]Daniel Beck, Adrià de Gispert, Gonzalo Iglesias, Aurelien Waite, Bill Byrne:
Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization. CoRR abs/1604.05073 (2016) - [i2]Daniel Beck, Lucia Specia, Trevor Cohn:
Exploring Prediction Uncertainty in Machine Translation Quality Estimation. CoRR abs/1606.09600 (2016) - 2015
- [j6]Daniel Beck, James A. Foster:
Machine learning classifiers provide insight into the relationship between microbial communities and bacterial vaginosis. BioData Min. 8: 23 (2015) - [j5]Daniel Beck, Christopher Dennis, James A. Foster
Seed: a user-friendly tool for exploring and visualizing microbial community data. Bioinform. 31(4): 602-603 (2015) - [j4]Daniel Beck, Trevor Cohn, Christian Hardmeier
Learning Structural Kernels for Natural Language Processing. Trans. Assoc. Comput. Linguistics 3: 461-473 (2015) - [c17]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: 342-347 - [i1]Daniel Beck, Trevor Cohn, Christian Hardmeier, Lucia Specia:
Learning Structural Kernels for Natural Language Processing. CoRR abs/1508.02131 (2015) - 2014
- [c16]Yolanda S. Baker, Rajeev Agrawal, James A. Foster, Daniel Beck, Gerry V. Dozier:
Detecting bacterial vaginosis using machine learning. ACM Southeast Regional Conference 2014: 46:1-46:4 - [c15]Daniel Beck:
Bayesian Kernel Methods for Natural Language Processing. ACL (Student Research Workshop) 2014: 1-9 - [c14]Daniel Beck, Trevor Cohn, Lucia Specia:
Joint Emotion Analysis via Multi-task Gaussian Processes. EMNLP 2014: 1798-1803 - [c13]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: 265-268 - [c12]Yolanda S. Baker, Rajeev Agrawal, James A. Foster
Applying machine learning techniques in detecting Bacterial Vaginosis. ICMLC 2014: 241-246 - [c11]Daniel Beck, Kashif Shah, Lucia Specia:
SHEF-Lite 2.0: Sparse Multi-task Gaussian Processes for Translation Quality Estimation. WMT@ACL 2014: 307-312 - 2013
- [c10]Daniel Beck, Lucia Specia, Trevor Cohn:
Reducing Annotation Effort for Quality Estimation via Active Learning. ACL (2) 2013: 543-548 - [c9]Daniel Beck, Kashif Shah, Trevor Cohn, Lucia Specia:
SHEF-Lite: When Less is More for Translation Quality Estimation. WMT@ACL 2013: 337-342 - 2012
- [j3]Wade K. Copeland, Vandhana Krishnan, Daniel Beck, Matt Settles
mcaGUI: microbial community analysis R-Graphical User Interface (GUI). Bioinform. 28(16): 2198-2199 (2012) - [j2]Daniel Beck, Gerhard Lakemeyer:
Reinforcement learning for Golog programs with first-order state-abstraction. Log. J. IGPL 20(5): 909-942 (2012) - [c8]Christoph Schwering, Daniel Beck, Stefan Schiffer, Gerhard Lakemeyer:
Plan Recognition by Program Execution in Continuous Temporal Domains. CogRob@AAAI 2012 - [c7]Daniel Beck, Gerhard Lakemeyer:
Representing Value Functions with Recurrent Binary Decision Diagrams. ECAI 2012: 139-144 - [c6]Christoph Schwering, Daniel Beck, Stefan Schiffer
Plan Recognition by Program Execution in Continuous Temporal Domains. KI 2012: 156-167 - 2011
- [j1]Daniel Beck, Matt Settles
OTUbase: an R infrastructure package for operational taxonomic unit data. Bioinform. 27(12): 1700-1701 (2011) - 2010
- [c5]Tim Niemüller, Alexander Ferrein
Design Principles of the Component-Based Robot Software Framework Fawkes. SIMPAR 2010: 300-311
2000 – 2009
- 2009
- [c4]Stefan Jacobs, Alexander Ferrein
Robust Collision Avoidance in Unknown Domestic Environments. RoboCup 2009: 116-127 - 2008
- [c3]Daniel Beck, Alexander Ferrein
Landmark-Based Representations for Navigating Holonomic Soccer Robots. RoboCup 2008: 25-36 - 2007
- [c2]Daniel Beck, Alexander Ferrein
A Simulation Environment for Middle-Size Robots with Multi-level Abstraction. RoboCup 2007: 136-147 - 2006
- [c1]Ulrich Schäfer, Daniel Beck:
Automatic Testing and Evaluation of Multilingual Language Technology Resources and Components. LREC 2006: 173-178
Coauthor Index
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last updated on 2024-10-18 19:32 CEST by the dblp team
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