Sebastian Gombert
8 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (6) π Academic Marathon (5) π Cross-Pollinator (14) π Renaissance Researcher (5)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(22)
π£
Hot Topic Early Bird
Conferences
ACL (3)
COLING (1)
EMNLP (1)
IJCNLP (1)
NAACL (1)
SEMEVAL (1)
Top co-authors
Research topics
Keywords
contextualized embedding
(4)
word embedding
(4)
psycholinguistic norm
(3)
gradient boosting
(3)
lexical complexity
(3)
feature engineering
(2)
multilingual nlp
(2)
large language model
(2)
gradient boosted regression
(2)
lexical complexity prediction
(2)
linguistic feature
(2)
text classification
(2)
contextual embedding
(2)
multi-task learning
(2)
ensemble model
(1)
language model
(1)
hierarchical model
(1)
ensemble learning
(1)
token classification
(1)
gradient boosted regression tree
(1)
Papers
GRIPF at TSAR 2025 Shared Task Towards controlled CEFR level simplification with the help of inter-model interactions
EMNLP 2025
Down the Cascades of Omethi: Hierarchical Automatic Scoring in Large-Scale Assessments
ACL 2025
TBA at BEA 2025 Shared Task: Transfer-Learning from DARE-TIES Merged Models for the Pedagogical Ability Assessment of LLM-Powered Math Tutors
ACL 2025
Predicting Item Difficulty and Item Response Time with Scalar-mixed Transformer Encoder Models and Rational Network Regression Heads
NAACL 2024
TUDA-CCL at SemEval-2021 Task 1: Using Gradient-boosted Regression Tree Ensembles Trained on a Heterogeneous Feature Set for Predicting Lexical Complexity
SEMEVAL 2021
TUDA-CCL at SemEval-2021 Task 1: Using Gradient-boosted Regression Tree Ensembles Trained on a Heterogeneous Feature Set for Predicting Lexical Complexity
IJCNLP 2021
TUDA-CCL at SemEval-2021 Task 1: Using Gradient-boosted Regression Tree Ensembles Trained on a Heterogeneous Feature Set for Predicting Lexical Complexity
ACL 2021
MultiVitaminBooster at PARSEME Shared Task 2020: Combining Window- and Dependency-Based Features with Multilingual Contextualised Word Embeddings for VMWE Detection
COLING 2020