| 2026 | EACL | Knowing the Facts but Choosing the Shortcut: Understanding How Large Language Models Compare Entities. | Hans Hergen Lehmann, Jae Hee Lee, Steven Schockaert, Stefan Wermter |
| 2026 | LREC | Contrastively Pre-trained Event Embeddings with Schema-free LLM Annotations. | Frank Mtumbuka, Steven Schockaert |
| 2025 | ACL | There's No Such Thing as Simple Reasoning for LLMs. | Nurul Fajrin Ariyani, Zied Bouraoui, Richard Booth, Steven Schockaert |
| 2025 | ACL | Large Language and Reasoning Models are Shallow Disjunctive Reasoners. | Irtaza Khalid, Amir Masoud Nourollah, Steven Schockaert |
| 2025 | COLING | PolyMinder: A Support System for Entity Annotation and Relation Extraction in Polymer Science Documents. | Owen Rambow, Leo Wanner, Marianna Apidianaki, Hend Al-Khalifa, Barbara Di Eugenio, Steven Schockaert, Brodie Mather, Mark Dras |
| 2025 | EMNLP | Less Is MuRE: Revisiting Shallow Knowledge Graph Embeddings. | Victor Charpenay, Steven Schockaert |
| 2025 | EMNLP | Grouping Entities with Shared Properties using Multi-Facet Prompting and Property Embeddings. | Amit Gajbhiye, Thomas Bailleux, Zied Bouraoui, Luis Espinosa Anke, Steven Schockaert |
| 2025 | EMNLP | Extracting Conceptual Spaces from LLMs Using Prototype Embeddings. | Nitesh Kumar, Usashi Chatterjee, Steven Schockaert |
| 2025 | ICLR | Systematic Relational Reasoning With Epistemic Graph Neural Networks. | Irtaza Khalid, Steven Schockaert |
| 2025 | KR | Faithful Differentiable Reasoning with Reshuffled Region-based Embeddings. | Aleksandar Pavlovic, Emanuel Sallinger, Steven Schockaert |
| 2024 | ACL | Modelling Commonsense Commonalities with Multi-Facet Concept Embeddings. | Hanane Kteich, Na Li, Usashi Chatterjee, Zied Bouraoui, Steven Schockaert |
| 2024 | ACL | Ranking Entities along Conceptual Space Dimensions with LLMs: An Analysis of Fine-Tuning Strategies. | Nitesh Kumar, Usashi Chatterjee, Steven Schockaert |
| 2024 | COLING | WordNet under Scrutiny: Dictionary Examples in the Era of Large Language Models. | Fatemah Yousef Almeman, Steven Schockaert, Luis Espinosa Anke |
| 2024 | COLING | Inductive Knowledge Graph Completion with GNNs and Rules: An Analysis. | Akash Anil, Vctor Gutirrez-Basulto, Yazmn Ibez-Garca, Steven Schockaert |
| 2024 | COLING | Can Language Models Learn Embeddings of Propositional Logic Assertions? | Nurul Fajrin Ariyani, Zied Bouraoui, Richard Booth, Steven Schockaert |
| 2024 | COLING | AMenDeD: Modelling Concepts by Aligning Mentions, Definitions and Decontextualised Embeddings. | Amit Gajbhiye, Zied Bouraoui, Luis Espinosa Anke, Steven Schockaert |
| 2024 | EACL | RAGAs: Automated Evaluation of Retrieval Augmented Generation. | Shahul ES, Jithin James, Luis Espinosa Anke, Steven Schockaert |
| 2024 | EACL | EnCore: Fine-Grained Entity Typing by Pre-Training Entity Encoders on Coreference Chains. | Frank Mtumbuka, Steven Schockaert |
| 2024 | EACL | A RelEntLess Benchmark for Modelling Graded Relations between Named Entities. | Asahi Ushio, Jos Camacho-Collados, Steven Schockaert |
| 2024 | EMNLP | CONTOR: Benchmarking Strategies for Completing Ontologies with Plausible Missing Rules. | Na Li, Thomas Bailleux, Zied Bouraoui, Steven Schockaert |
| 2024 | EMNLP | Entity or Relation Embeddings? An Analysis of Encoding Strategies for Relation Extraction. | Frank Mtumbuka, Steven Schockaert |
| 2024 | IJCAI | Capturing Knowledge Graphs and Rules with Octagon Embeddings. | Victor Charpenay, Steven Schockaert |
| 2023 | ACL | What's the Meaning of Superhuman Performance in Today's NLU? | Simone Tedeschi, Johan Bos, Thierry Declerck, Jan Hajic, Daniel Hershcovich, Eduard H. Hovy, Alexander Koller, Simon Krek, Steven Schockaert, Rico Sennrich, Ekaterina Shutova, Roberto Navigli |
| 2023 | EMNLP | Cabbage Sweeter than Cake? Analysing the Potential of Large Language Models for Learning Conceptual Spaces. | Usashi Chatterjee, Amit Gajbhiye, Steven Schockaert |
| 2023 | EMNLP | What do Deck Chairs and Sun Hats Have in Common? Uncovering Shared Properties in Large Concept Vocabularies. | Amit Gajbhiye, Zied Bouraoui, Na Li, Usashi Chatterjee, Luis Espinosa Anke, Steven Schockaert |
| 2023 | EMNLP | Solving Hard Analogy Questions with Relation Embedding Chains. | Nitesh Kumar, Steven Schockaert |
| 2023 | EMNLP | Ultra-Fine Entity Typing with Prior Knowledge about Labels: A Simple Clustering Based Strategy. | Na Li, Zied Bouraoui, Steven Schockaert |
| 2023 | SIGIR | Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models. | Na Li, Hanane Kteich, Zied Bouraoui, Steven Schockaert |
| 2022 | AAAI | Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention. | Kun Yan, Chenbin Zhang, Jun Hou, Ping Wang, Zied Bouraoui, Shoaib Jameel, Steven Schockaert |
| 2022 | COLING | Self-Supervised Intermediate Fine-Tuning of Biomedical Language Models for Interpreting Patient Case Descriptions. | Israa Alghanmi, Luis Espinosa Anke, Steven Schockaert |
| 2022 | COLING | Modelling Commonsense Properties Using Pre-Trained Bi-Encoders. | Amit Gajbhiye, Luis Espinosa Anke, Steven Schockaert |
| 2022 | LREC | Pre-Training Language Models for Identifying Patronizing and Condescending Language: An Analysis. | Carla Prez-Almendros, Luis Espinosa Anke, Steven Schockaert |
| 2022 | LREC | Sentence Selection Strategies for Distilling Word Embeddings from BERT. | Yixiao Wang, Zied Bouraoui, Luis Espinosa Anke, Steven Schockaert |
| 2022 | SIGIR | Interpreting Patient Descriptions using Distantly Supervised Similar Case Retrieval. | Israa Alghanmi, Luis Espinosa Anke, Steven Schockaert |
| 2021 | ACL | Probing Pre-Trained Language Models for Disease Knowledge. | Israa Alghanmi, Luis Espinosa Anke, Steven Schockaert |
| 2021 | ACL | BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies? | Asahi Ushio, Luis Espinosa Anke, Steven Schockaert, Jos Camacho-Collados |
| 2021 | EMNLP | Distilling Relation Embeddings from Pretrained Language Models. | Asahi Ushio, Jos Camacho-Collados, Steven Schockaert |
| 2021 | ICASSP | Few-Shot Image Classification with Multi-Facet Prototypes. | Kun Yan, Zied Bouraoui, Ping Wang, Shoaib Jameel, Steven Schockaert |
| 2021 | IJCAI | Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings. | Na Li, Zied Bouraoui, Jos Camacho-Collados, Luis Espinosa Anke, Qing Gu, Steven Schockaert |
| 2021 | IJCAI | A Description Logic for Analogical Reasoning. | Steven Schockaert, Yazmn Ibez-Garca, Vctor Gutirrez-Basulto |
| 2020 | AAAI | Modelling Semantic Categories Using Conceptual Neighborhood. | Zied Bouraoui, Jos Camacho-Collados, Luis Espinosa Anke, Steven Schockaert |
| 2020 | AAAI | Inducing Relational Knowledge from BERT. | Zied Bouraoui, Jos Camacho-Collados, Steven Schockaert |
| 2020 | COLING | A Mixture-of-Experts Model for Learning Multi-Facet Entity Embeddings. | Rana Alshaikh, Zied Bouraoui, Shelan S. Jeawak, Steven Schockaert |
| 2020 | COLING | Don't Patronize Me! An Annotated Dataset with Patronizing and Condescending Language towards Vulnerable Communities. | Carla Prez-Almendros, Luis Espinosa Anke, Steven Schockaert |
| 2020 | ECAI | Capturing Word Order in Averaging Based Sentence Embeddings. | Jae Hee Lee, Jos Camacho-Collados, Luis Espinosa Anke, Steven Schockaert |
| 2020 | ECAI | STRiKE: Rule-Driven Relational Learning Using Stratified k-Entailment. | Martin Svatos, Steven Schockaert, Jesse Davis, Ondrej Kuzelka |
| 2020 | IJCAI | Hierarchical Linear Disentanglement of Data-Driven Conceptual Spaces. | Rana Alshaikh, Zied Bouraoui, Steven Schockaert |
| 2020 | ICWSM | Learning Cross-Lingual Word Embeddings from Twitter via Distant Supervision. | Jos Camacho-Collados, Yerai Doval, Eugenio Martnez-Cmara, Luis Espinosa Anke, Francesco Barbieri, Steven Schockaert |
| 2020 | KR | Plausible Reasoning about EL-Ontologies using Concept Interpolation. | Yazmn Ibez-Garca, Vctor Gutirrez-Basulto, Steven Schockaert |
| 2020 | LREC | On the Robustness of Unsupervised and Semi-supervised Cross-lingual Word Embedding Learning. | Yerai Doval, Jos Camacho-Collados, Luis Espinosa Anke, Steven Schockaert |
| 2019 | AAAI | Automated Rule Base Completion as Bayesian Concept Induction. | Zied Bouraoui, Steven Schockaert |
| 2019 | AAAI | Word Embedding as Maximum A Posteriori Estimation. | Shoaib Jameel, Zihao Fu, Bei Shi, Wai Lam, Steven Schockaert |
| 2019 | ACL | Collocation Classification with Unsupervised Relation Vectors. | Luis Espinosa Anke, Steven Schockaert, Leo Wanner |
| 2019 | ACL | Relational Word Embeddings. | Jos Camacho-Collados, Luis Espinosa Anke, Steven Schockaert |
| 2019 | ACL | Word and Document Embedding with vMF-Mixture Priors on Context Word Vectors. | Shoaib Jameel, Steven Schockaert |
| 2019 | CoNLL | Learning Conceptual Spaces with Disentangled Facets. | Rana Alshaikh, Zied Bouraoui, Steven Schockaert |
| 2019 | ECIR | Embedding Geographic Locations for Modelling the Natural Environment Using Flickr Tags and Structured Data. | Shelan S. Jeawak, Christopher B. Jones, Steven Schockaert |
| 2019 | IJCAI | A Latent Variable Model for Learning Distributional Relation Vectors. | Jos Camacho-Collados, Luis Espinosa Anke, Shoaib Jameel, Steven Schockaert |
| 2019 | WWW | Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness. | Yilun Zhou, Steven Schockaert, Julie Shah |
| 2018 | AAAI | Relational Marginal Problems: Theory and Estimation. | Ondrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert |
| 2018 | ACL | Unsupervised Learning of Distributional Relation Vectors. | Shoaib Jameel, Zied Bouraoui, Steven Schockaert |
| 2018 | COLING | SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors. | Luis Espinosa Anke, Steven Schockaert |
| 2018 | COLING | Relation Induction in Word Embeddings Revisited. | Zied Bouraoui, Shoaib Jameel, Steven Schockaert |
| 2018 | CoNLL | Modelling Salient Features as Directions in Fine-Tuned Semantic Spaces. | Thomas Ager, Ondrej Kuzelka, Steven Schockaert |
| 2018 | EMNLP | Interpretable Emoji Prediction via Label-Wise Attention LSTMs. | Francesco Barbieri, Luis Espinosa Anke, Jos Camacho-Collados, Steven Schockaert, Horacio Saggion |
| 2018 | EMNLP | Improving Cross-Lingual Word Embeddings by Meeting in the Middle. | Yerai Doval, Jos Camacho-Collados, Luis Espinosa Anke, Steven Schockaert |
| 2018 | IJCAI | Learning Conceptual Space Representations of Interrelated Concepts. | Zied Bouraoui, Steven Schockaert |
| 2018 | IJCAI | Reasoning about Betweenness and RCC8 Constraints in Qualitative Conceptual Spaces. | Steven Schockaert, Sanjiang Li |
| 2018 | KR | From Knowledge Graph Embedding to Ontology Embedding? An Analysis of the Compatibility between Vector Space Representations and Rules. | Vctor Gutirrez-Basulto, Steven Schockaert |
| 2018 | NAACL | Syntactically Aware Neural Architectures for Definition Extraction. | Luis Espinosa Anke, Steven Schockaert |
| 2018 | UAI | PAC-Reasoning in Relational Domains. | Ondrej Kuzelka, Yuyi Wang, Jesse Davis, Steven Schockaert |
| 2017 | AAAI | Inductive Reasoning about Ontologies Using Conceptual Spaces. | Zied Bouraoui, Shoaib Jameel, Steven Schockaert |
| 2017 | CoNLL | Modeling Context Words as Regions: An Ordinal Regression Approach to Word Embedding. | Shoaib Jameel, Steven Schockaert |
| 2017 | IJCAI | Induction of Interpretable Possibilistic Logic Theories from Relational Data. | Ondrej Kuzelka, Jesse Davis, Steven Schockaert |
| 2017 | ILP | Stacked Structure Learning for Lifted Relational Neural Networks. | Gustav Sourek, Martin Svatos, Filip Zelezn, Steven Schockaert, Ondrej Kuzelka |
| 2017 | ILP | Pruning Hypothesis Spaces Using Learned Domain Theories. | Martin Svatos, Gustav Sourek, Filip Zelezn, Steven Schockaert, Ondrej Kuzelka |
| 2017 | SIGIR | MEmbER: Max-Margin Based Embeddings for Entity Retrieval. | Shoaib Jameel, Zied Bouraoui, Steven Schockaert |
| 2017 | SIGIR | Jointly Learning Word Embeddings and Latent Topics. | Bei Shi, Wai Lam, Shoaib Jameel, Steven Schockaert, Kwun Ping Lai |
| 2016 | COLING | D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities. | Shoaib Jameel, Steven Schockaert |
| 2016 | ECAI | Formalizing Commitment-Based Deals in Boolean Games. | Sofie De Clercq, Steven Schockaert, Ann Now, Martine De Cock |
| 2016 | ECAI | Entity Embeddings with Conceptual Subspaces as a Basis for Plausible Reasoning. | Shoaib Jameel, Steven Schockaert |
| 2016 | ECAI | Interpretable Encoding of Densities Using Possibilistic Logic. | Ondrej Kuzelka, Jesse Davis, Steven Schockaert |
| 2016 | IJCAI | Learning Possibilistic Logic Theories from Default Rules. | Ondrej Kuzelka, Jesse Davis, Steven Schockaert |
| 2016 | IJCAI | Plausible Reasoning Based on Qualitative Entity Embeddings. | Steven Schockaert, Shoaib Jameel |
| 2016 | ILP | Learning Predictive Categories Using Lifted Relational Neural Networks. | Gustav Sourek, Suresh Manandhar, Filip Zelezn, Steven Schockaert, Ondrej Kuzelka |
| 2016 | ICTIR | Exploring Urban Lifestyles Using a Nonparametric Temporal Graphical Model. | Shoaib Jameel, Yi Liao, Wai Lam, Steven Schockaert, Xing Xie |
| 2016 | ICTIR | Who Wants to Join Me?: Companion Recommendation in Location Based Social Networks. | Yi Liao, Wai Lam, Shoaib Jameel, Steven Schockaert, Xing Xie |
| 2016 | KR | Encoding Large RCC8 Scenarios Using Rectangular Pseudo-Solutions. | Zhiguo Long, Steven Schockaert, Sanjiang Li |
| 2016 | NeSy | Inducing Symbolic Rules from Entity Embeddings using Auto-encoders. | Thomas Ager, Ondrej Kuzelka, Steven Schockaert |
| 2015 | CIKM | A Unified Posterior Regularized Topic Model with Maximum Margin for Learning-to-Rank. | Shoaib Jameel, Wai Lam, Steven Schockaert, Lidong Bing |
| 2015 | IJCAI | Multilateral Negotiation in Boolean Games with Incomplete Information Using Generalized Possibilistic Logic. | Sofie De Clercq, Steven Schockaert, Ann Now, Martine De Cock |
| 2015 | IJCAI | Extending Answer Set Programming using Generalized Possibilistic Logic. | Didier Dubois, Henri Prade, Steven Schockaert |
| 2015 | IJCAI | Qualitative Reasoning about Directions in Semantic Spaces. | Steven Schockaert, Jae Hee Lee |
| 2015 | ILP | Constructing Markov Logic Networks from First-Order Default Rules. | Ondrej Kuzelka, Jesse Davis, Steven Schockaert |
| 2015 | LPNMR | Solving Disjunctive Fuzzy Answer Set Programs. | Mushthofa Mushthofa, Steven Schockaert, Martine De Cock |
| 2015 | UAI | Encoding Markov logic networks in Possibilistic Logic. | Ondrej Kuzelka, Jesse Davis, Steven Schockaert |
| 2014 | CIKM | Repairing Inconsistent Taxonomies Using MAP Inference and Rules of Thumb. | Elie Merhej, Steven Schockaert, Martine De Cock, Marjon Blondeel, Daniele Alfarone, Jesse Davis |
| 2014 | ECAI | Characterising Semantic Relatedness using Interpretable Directions in Conceptual Spaces. | Joaqun Derrac, Steven Schockaert |
| 2014 | ECAI | Reasoning about Uncertainty and Explicit Ignorance in Generalized Possibilistic Logic. | Didier Dubois, Henri Prade, Steven Schockaert |
| 2014 | ECAI | A finite-valued solver for disjunctive fuzzy answer set programs. | Mushthofa Mushthofa, Steven Schockaert, Martine De Cock |
| 2014 | ICAART | Decentralized Computation of Pareto Optimal Pure Nash Equilibria of Boolean Games with Privacy Concerns . | Sofie De Clercq, Kim Bauters, Steven Schockaert, Mihail Mihaylov, Martine De Cock, Ann Now |
| 2014 | JELIA | Possibilistic Boolean Games: Strategic Reasoning under Incomplete Information. | Sofie De Clercq, Steven Schockaert, Martine De Cock, Ann Now |
| 2014 | KR | Using Answer Set Programming for Solving Boolean Games. | Sofie De Clercq, Kim Bauters, Steven Schockaert, Martine De Cock, Ann Now |
| 2014 | WWW | Detecting Newsworthy Topics in Twitter. | Steven Van Canneyt, Matthias Feys, Steven Schockaert, Thomas Demeester, Chris Develder, Bart Dhoedt |
| 2013 | IJCAI | Towards a Deeper Understanding of Nonmonotonic Reasoning with Degrees. | Marjon Blondeel, Steven Schockaert, Dirk Vermeir, Martine De Cock |
| 2013 | IJCAI | Combining RCC5 Relations with Betweenness Information. | Steven Schockaert, Sanjiang Li |
| 2013 | IJCAI | Interpolative Reasoning with Default Rules. | Steven Schockaert, Henri Prade |
| 2012 | ECAI | Convex Solutions of RCC8 Networks. | Steven Schockaert, Sanjiang Li |
| 2012 | ICTAI | Possible and Necessary Answer Sets of Possibilistic Answer Set Programs. | Kim Bauters, Steven Schockaert, Martine De Cock, Dirk Vermeir |
| 2012 | KR | Stable Models in Generalized Possibilistic Logic. | Didier Dubois, Henri Prade, Steven Schockaert |
| 2011 | ECSQARU | Fuzzy Autoepistemic Logic: Reflecting about Knowledge of Truth Degrees. | Marjon Blondeel, Steven Schockaert, Martine De Cock, Dirk Vermeir |
| 2011 | EUSFLAT | Completing rule bases in symbolic domains by analogy making. | Henri Prade, Steven Schockaert |
| 2011 | LPNMR | Communicating ASP and the Polynomial Hierarchy. | Kim Bauters, Steven Schockaert, Dirk Vermeir, Martine De Cock |
| 2010 | AAAI | An Inconsistency-Tolerant Approach to Information Merging Based on Proposition Relaxation. | Steven Schockaert, Henri Prade |
| 2010 | ICLP | Communicating Answer Set Programs. | Kim Bauters, Jeroen Janssen, Steven Schockaert, Dirk Vermeir, Martine De Cock |
| 2010 | UAI | Possibilistic Answer Set Programming Revisited. | Kim Bauters, Steven Schockaert, Martine De Cock, Dirk Vermeir |
| 2009 | EUSFLAT | Fuzzy Answer Set Programming with Literal Preferences. | Jeroen Janssen, Steven Schockaert, Dirk Vermeir, Martine De Cock |
| 2009 | ICTAI | Merging Conflicting Propositional Knowledge by Similarity. | Steven Schockaert, Henri Prade |
| 2007 | CIKM | Reasoning about vague topological information. | Steven Schockaert, Martine De Cock |
| 2007 | IJCAI | Qualitative Temporal Reasoning about Vague Events. | Steven Schockaert, Martine De Cock, Etienne E. Kerre |
| 2007 | SIGIR | Fuzzy temporal and spatial reasoning for intelligent information retrieval. | Steven Schockaert |
| 2007 | SIGIR | Neighborhood restrictions in geographic IR. | Steven Schockaert, Martine De Cock |
| 2006 | FQAS | Question Answering with Imperfect Temporal Information. | Steven Schockaert, David Ahn, Martine De Cock, Etienne E. Kerre |