Christoph Schommer
7 papers · 2019–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Silver
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Academic Marathon · Sprint
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(23)
Top co-authors
Research topics
Machine Learning
(6)
Natural Language Processing
(6)
Learning Types · Machine Learning
(6)
Applications
(4)
Resources & Methods
(4)
Deep Learning
(3)
Architectures
(3)
Artificial Intelligence
(2)
Core AI
(2)
Learning Types · Deep Learning
(2)
Core Methods
(1)
Generation
(1)
Optimization & Theory
(1)
Understanding
(1)
Keywords
transformer model
(3)
arabic language
(2)
focal loss
(2)
multi-task learning
(2)
large language model
(2)
loss function
(2)
attention mechanism
(1)
multi-label classification
(1)
text classification
(1)
text summarization
(1)
text generation
(1)
text representation
(1)
bert model
(1)
reading comprehension
(1)
sentiment analysis
(1)
recurrent neural network
(1)
low-resource language
(1)
named entity recognition
(1)
persuasion detection
(1)
linguistic annotation
(1)
Papers
LuxDiagRC: A Diagnostic Reading Comprehension Corpus for Luxembourgish with Linguistic and Cognitive Annotation Layers
EACL 2026
ArabicSense: A Benchmark for Evaluating Commonsense Reasoning in Arabic with Large Language Models
COLING 2025
Empirical Evaluation of Pre-trained Language Models for Summarizing Moroccan Darija News Articles
COLING 2025
UL & UM6P at ArAIEval Shared Task: Transformer-based model for Persuasion Techniques and Disinformation detection in Arabic
EMNLP 2023
UL & UM6P at SemEval-2023 Task 10: Semi-Supervised Multi-task Learning for Explainable Detection of Online Sexism
SemEval 2023
UM6P & UL at WojoodNER shared task: Improving Multi-Task Learning for Flat and Nested Arabic Named Entity Recognition
EMNLP 2023
A Personalized Sentiment Model with Textual and Contextual Information
CoNLL 2019