← Authors

Steven Schockaert

76 papers · 2013–2026 · 11 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (11) πŸ—ΊοΈ Taxonomy Completionist (69) 🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (12) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸƒ Academic Marathon (12) 🀝 Dynamic Duo (21) πŸ”¬ Deep Specialist (22) πŸ† Keyword Champion (2) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (9) πŸ—ƒοΈ Keyword Collector (242) ❓ The Questioner (8) πŸ’Ž Century Club (75) πŸ”₯ 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

Zied Bouraoui (21) Luis Espinosa-Anke (16) Luis Espinosa Anke (13) Jose Camacho-Collados (11) Shoaib Jameel (9) Na Li (5) Amit Gajbhiye (5) Usashi Chatterjee (5) Israa Alghanmi (4) Asahi Ushio (4)

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
There’s 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
What’s the Meaning of Superhuman Performance in Today’s 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
Don’t 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