Steven Schockaert
76 papers · 2013–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (12) π Conference Polyglot (11) π§ Keyword Pioneer π Interdisciplinary Bridge π£ Hot Topic Early Bird
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Hot Topic Early Bird
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Keyword Pioneer
π
Academic Marathon
(12)
π€
Dynamic Duo
(21)
π¬
Deep Specialist
(22)
π
Keyword Champion
(2)
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Trend Setter
π
Conference Pioneer
β‘
Prolific Year
(9)
ποΈ
Keyword Collector
(242)
β
The Questioner
(8)
π
Century Club
(75)
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Unstoppable
(11)
Conferences
IJCAI (15)
COLING (14)
EMNLP (14)
ACL (12)
AAAI (5)
EACL (4)
CONLL (3)
IJCNLP (3)
SEMEVAL (3)
NAACL (2)
ICLR (1)
Top co-authors
Keywords
word embedding
(16)
conceptual space
(8)
representation learning
(8)
large language model
(7)
text classification
(7)
pretrained language model
(5)
knowledge representation
(4)
named entity recognition
(4)
pre-trained language model
(4)
entity embedding
(4)
concept embedding
(4)
knowledge graph
(4)
word vector
(4)
relation vector
(4)
unsupervised learning
(4)
multi-label classification
(4)
domain adaptation
(3)
transfer learning
(3)
entity typing
(3)
knowledge distillation
(3)
Papers
Knowing the Facts but Choosing the Shortcut: Understanding How Large Language Models Compare Entities
EACL 2026
Systematic Relational Reasoning With Epistemic Graph Neural Networks
ICLR 2025
Large Language and Reasoning Models are Shallow Disjunctive Reasoners
ACL 2025
Grouping Entities with Shared Properties using Multi-Facet Prompting and Property Embeddings
EMNLP 2025
Less Is MuRE: Revisiting Shallow Knowledge Graph Embeddings
EMNLP 2025
Thereβs No Such Thing as Simple Reasoning for LLMs
ACL 2025
Extracting Conceptual Spaces from LLMs Using Prototype Embeddings
EMNLP 2025
Capturing Knowledge Graphs and Rules with Octagon Embeddings
IJCAI 2024
Modelling Commonsense Commonalities with Multi-Facet Concept Embeddings
ACL 2024
Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategies
ACL 2024
AMenDeD: Modelling Concepts by Aligning Mentions, Definitions and Decontextualised Embeddings
COLING 2024
Can Language Models Learn Embeddings of Propositional Logic Assertions?
COLING 2024
Inductive Knowledge Graph Completion with GNNs and Rules: An Analysis
COLING 2024
WordNet under Scrutiny: Dictionary Examples in the Era of Large Language Models
COLING 2024
EnCore: Fine-Grained Entity Typing by Pre-Training Entity Encoders on Coreference Chains
EACL 2024
A RelEntLess Benchmark for Modelling Graded Relations between Named Entities
EACL 2024
RAGAs: Automated Evaluation of Retrieval Augmented Generation
EACL 2024
Entity or Relation Embeddings? An Analysis of Encoding Strategies for Relation Extraction
EMNLP 2024
CONTOR: Benchmarking Strategies for Completing Ontologies with Plausible Missing Rules
EMNLP 2024
Cabbage Sweeter than Cake? Analysing the Potential of Large Language Models for Learning Conceptual Spaces
EMNLP 2023
Ultra-Fine Entity Typing with Prior Knowledge about Labels: A Simple Clustering Based Strategy
EMNLP 2023
Whatβs the Meaning of Superhuman Performance in Todayβs NLU?
ACL 2023
Solving Hard Analogy Questions with Relation Embedding Chains
EMNLP 2023
What do Deck Chairs and Sun Hats Have in Common? Uncovering Shared Properties in Large Concept Vocabularies
EMNLP 2023
Modelling Commonsense Properties Using Pre-Trained Bi-Encoders
COLING 2022
Identifying Condescending Language: A Tale of Two Distinct Phenomena?
EMNLP 2022
SemEval-2022 Task 4: Patronizing and Condescending Language Detection
SEMEVAL 2022
SemEval-2022 Task 4: Patronizing and Condescending Language Detection
NAACL 2022
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention
AAAI 2022
Self-Supervised Intermediate Fine-Tuning of Biomedical Language Models for Interpreting Patient Case Descriptions
COLING 2022
Distilling Relation Embeddings from Pretrained Language Models
EMNLP 2021
Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention Selection
ACL 2021
Probing Pre-Trained Language Models for Disease Knowledge
ACL 2021
BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies?
ACL 2021
A Description Logic for Analogical Reasoning
IJCAI 2021
Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings
IJCAI 2021
BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies?
IJCNLP 2021
Probing Pre-Trained Language Models for Disease Knowledge
IJCNLP 2021
Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention Selection
IJCNLP 2021
A Mixture-of-Experts Model for Learning Multi-Facet Entity Embeddings
COLING 2020
Inducing Relational Knowledge from BERT
AAAI 2020
Donβt Patronize Me! An Annotated Dataset with Patronizing and Condescending Language towards Vulnerable Communities
COLING 2020
Learning Company Embeddings from Annual Reports for Fine-grained Industry Characterization
COLING 2020
Cardiff University at SemEval-2020 Task 6: Fine-tuning BERT for Domain-Specific Definition Classification
COLING 2020
Cardiff University at SemEval-2020 Task 6: Fine-tuning BERT for Domain-Specific Definition Classification
SEMEVAL 2020
Hierarchical Linear Disentanglement of Data-Driven Conceptual Spaces
IJCAI 2020
Combining BERT with Static Word Embeddings for Categorizing Social Media
EMNLP 2020
Modelling Semantic Categories Using Conceptual Neighborhood
AAAI 2020
Learning Conceptual Spaces with Disentangled Facets
CONLL 2019
Cardiff University at SemEval-2019 Task 4: Linguistic Features for Hyperpartisan News Detection
SEMEVAL 2019
Word Embedding as Maximum A Posteriori Estimation
AAAI 2019
A Latent Variable Model for Learning Distributional Relation Vectors
IJCAI 2019
Collocation Classification with Unsupervised Relation Vectors
ACL 2019
Automated Rule Base Completion as Bayesian Concept Induction
AAAI 2019
Word and Document Embedding with vMF-Mixture Priors on Context Word Vectors
ACL 2019
Relational Word Embeddings
ACL 2019
Knowledge Representation with Conceptual Spaces
COLING 2018
Improving Cross-Lingual Word Embeddings by Meeting in the Middle
EMNLP 2018
SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors
COLING 2018
Modelling Salient Features as Directions in Fine-Tuned Semantic Spaces
CONLL 2018
Syntactically Aware Neural Architectures for Definition Extraction
NAACL 2018
Unsupervised Learning of Distributional Relation Vectors
ACL 2018
Learning Conceptual Space Representations of Interrelated Concepts
IJCAI 2018
Reasoning about Betweenness and RCC8 Constraints in Qualitative Conceptual Spaces
IJCAI 2018
Relation Induction in Word Embeddings Revisited
COLING 2018
Interpretable Emoji Prediction via Label-Wise Attention LSTMs
EMNLP 2018
Induction of Interpretable Possibilistic Logic Theories from Relational Data
IJCAI 2017
Modeling Context Words as Regions: An Ordinal Regression Approach to Word Embedding
CONLL 2017
Learning Possibilistic Logic Theories from Default Rules
IJCAI 2016
Plausible Reasoning Based on Qualitative Entity Embeddings
IJCAI 2016
D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities
COLING 2016
Multilateral Negotiation in Boolean Games with Incomplete Information Using Generalized Possibilistic Logic
IJCAI 2015
Qualitative Reasoning about Directions in Semantic Spaces
IJCAI 2015
Interpolative Reasoning with Default Rules
IJCAI 2013
Towards a Deeper Understanding of Nonmonotonic Reasoning with Degrees
IJCAI 2013
Combining RCC5 Relations with Betweenness Information
IJCAI 2013