Daniel Beck
19 papers · 2013–2026 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (36) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
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Topic Evolution
🗃️
Keyword Collector
(76)
📈
Trend Setter
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
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Renaissance Researcher
(8)
Top co-authors
Research topics
Natural Language Processing
(11)
Machine Learning
(9)
Applications
(7)
Optimization & Theory
(5)
Deep Learning
(4)
Artificial Intelligence
(3)
Application Areas
(3)
Bayesian & Probabilistic
(3)
Core Methods
(3)
Resources & Methods
(3)
Architectures
(2)
Generation
(2)
Computer Science
(1)
Computer Vision
(1)
Healthcare & Medicine
(1)
Keywords
gaussian process
(4)
string kernel
(2)
emotion analysis
(2)
uncertainty estimation
(2)
data augmentation
(2)
machine translation
(2)
text classification
(1)
sentiment analysis
(1)
transfer learning
(1)
bert model
(1)
speech recognition
(1)
information extraction
(1)
neural machine translation
(1)
semantic parsing
(1)
bayesian inference
(1)
text representation
(1)
text summarization
(1)
uncertainty quantification
(1)
image captioning
(1)
multimodal learning
(1)
Papers
FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness Evaluation
EACL 2026
Intervention extraction in preclinical animal studies of Alzheimer’s Disease: Enhancing regex performance with language model-based filtering
ACL 2024
MMT’s Submission for the WMT 2023 Quality Estimation Shared Task
EMNLP 2023
Performance Prediction via Bayesian Matrix Factorisation for Multilingual Natural Language Processing Tasks
EACL 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
ACL 2023
On the (In)Effectiveness of Images for Text Classification
EACL 2021
BOSS: Bayesian Optimization over String Spaces
NeurIPS 2020
Modelling Uncertainty in Collaborative Document Quality Assessment
EMNLP 2019
Neural Speech Translation using Lattice Transformations and Graph Networks
EMNLP 2019
On the Role of Scene Graphs in Image Captioning
EMNLP 2019
Graph-to-Sequence Learning using Gated Graph Neural Networks
ACL 2018
Learning Kernels over Strings using Gaussian Processes
IJCNLP 2017
Modelling Representation Noise in Emotion Analysis using Gaussian Processes
IJCNLP 2017
Exploring Prediction Uncertainty in Machine Translation Quality Estimation
CoNLL 2016
Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization
NAACL 2016
USFD at SemEval-2016 Task 1: Putting different State-of-the-Arts into a Box
SemEval 2016
Bayesian Kernel Methods for Natural Language Processing
ACL 2014
Joint Emotion Analysis via Multi-task Gaussian Processes
EMNLP 2014
Reducing Annotation Effort for Quality Estimation via Active Learning
ACL 2013