Ralf Krestel
10 papers · 2018–2024 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(9)
Core Methods
(7)
Deep Learning
(4)
Natural Language Processing
(3)
Application Areas
(3)
Applications
(2)
Architectures
(2)
Learning Types · Machine Learning
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Data Science & Analytics
(1)
Core AI
(1)
Generation
(1)
Learning Types · Deep Learning
(1)
Methods
(1)
Keywords
text classification
(4)
data augmentation
(2)
ensemble learning
(2)
logistic regression
(2)
toxic comment classification
(2)
knowledge graph
(2)
content moderation
(1)
data integration
(1)
reinforcement learning
(1)
named entity recognition
(1)
generative adversarial network
(1)
information extraction
(1)
deep neural network
(1)
deep learning
(1)
siamese neural network
(1)
model robustness
(1)
semi-supervised learning
(1)
ensemble method
(1)
representation learning
(1)
neural network architecture
(1)
Papers
DDxGym: Online Transformer Policies in a Knowledge Graph Based Natural Language Environment
COLING 2024
The Effects of Data Quality on Named Entity Recognition
EACL 2024
Art Creation with Multi-Conditional StyleGANs
IJCAI 2022
Data Integration for Toxic Comment Classification: Making More Than 40 Datasets Easily Accessible in One Unified Format
ACL 2021
Modeling the Evolution of Word Senses with Force-Directed Layouts of Co-occurrence Networks
ACL 2021
Multifaceted Domain-Specific Document Embeddings
NAACL 2021
Aggression Identification Using Deep Learning and Data Augmentation
COLING 2018
Challenges for Toxic Comment Classification: An In-Depth Error Analysis
EMNLP 2018
Delete or not Delete? Semi-Automatic Comment Moderation for the Newsroom
COLING 2018
Prediction for the Newsroom: Which Articles Will Get the Most Comments?
NAACL 2018