My research interests are at the intersection of Machine Learning (ML), Natural Language Processing (NLP) and Knowledge Representation and reasoning (KRR). In particular, I'm interested in:   
								
								
									-  Representation learning, Integrated approaches to learning and reasoning 
 
									-  Lexical semantics, concept modelling, relation extraction, vector space representations, Language models, 
 
									-  Conceptual spaces, Existential rules, description logics, ontologies, query answering, automated knowledge base completion. 
 
									-  Bayesian learning, possibility theory, uncertainty management. 
 
									-  Reasoning under inconsistency,  belief update and merging.    
 
                                
								
								
								
								
										
										
											
											- Astrid Klipfel, Olivier Peltre, Najwa Harrati, Yaël Frégier, Adlane Sayede, Zied Bouraoui:
												Equivariant Message Passing Neural Network for Crystal Material Discovery.
												Proceedings of the 37th International Joint Conference on Artificial Intelligence
												 (AAAI-2023) . 
										   
 	
											- Kun Yan, Chenbin Zhang, Jun Hou, Ping Wang, Zied Bouraoui, Shoaib Jameel, Steven Schockaert:
												Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention.
												Proceedings of the 36th International Joint Conference on Artificial Intelligence
												 (AAAI-2022) . 
										
 	
											- Zied Bouraoui, Sébastien Konieczny, Thanh Ma, Nicolas Schwind, Ivan Varzinczak:
												Region-Based Merging of Open-Domain Terminological Knowledge. KR 2022
											    Proceedings of the  19th International Conference on Principles of Knowledge Representation and Reasoning  (KR 2022) . 								
										
 
											
											- Na Li, Zied Bouraoui, José Camacho-Collados, Luis Espinosa Anke, Qing Gu, Steven Schockaert.
												Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings
												Proceedings of the 30th International Joint Conference on Artificial Intelligence.
												 (IJCAI 2021) . 
												
											
 
											- Rana Alshaikh, Zied Bouraoui  Shelan S. Jeawak and Steven Schockaert: 
												A Mixture-of-Experts Model for Learning Multi-Facet Entity Embeddings.
                                                Proceedings of the 28th International Conference on Computational Linguistics (COLING-2020) .
                                
											
 
                                            - Rana Alshaikh, Zied Bouraoui and Steven Schockaert: 
												Hierarchical Linear Disentanglement of Data-Driven Conceptual Spaces.
                                                Proceedings of the 29th International Joint Conference on Artificial Intelligence  (IJCAI-2020) .
                                               
                                            
 
											-  Zied Bouraoui, Jean-Marie Lagniez, Pierre Marquis and Valentin Montmirail:   
												Consolidating Modal Knowledge Bases.  
												Proceedings of the 24th European Conference on Artificial Intelligence  (ECAI-2020) .
												
								         	
 
											-  Zied Bouraoui, Jose Camacho Collados and Steven Schockaert:   
														Inducing Relational Knowledge from Pre-trained Language Models.  
														Proceedings of the 34th AAAI Conference on Artificial Intelligence  (AAAI-2020) .
														
											
 
											-  Zied Bouraoui, Jose Camacho Collados, Luis Espinosa-Anke and Steven Schockaert:   
												 Modelling Semantic Categories using Conceptual Neighborhood
												 Proceedings  of the 34th AAAI Conference on Artificial Intelligence  (AAAI-2020) .
												
											
 
									
											
											
											
											
										
										 The full list of publications is available here.
											Find out more on my  DBLP page.
 
									
								
															   
								
								    
									I am/was a member of the following projects: 
									
									    On going projects:
									  
										- ANR JCJC ERIANA: Event-Centric Reasoning for Interpreting Everyday Narratives, Principal Investigator (PI).
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										- ANR CHAIRE IA BE4musIA: BElief change FOR better MUlti-Source Information Analysis, co-I. 
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										- 
											ANR VIVAH. Vers une Intelligence Artificielle à Visage Humain. P.
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										- 
											ICT-48 European networks of AI excellence centres, Foundations of Trustworthy AI – Integrating Reasoning, Learning and Optimization, P.
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										- CNRS FEI EMILIE : Explainable Multi-label few-shot Image cLassifica$on with qualitative constraint networks and word Embeddings, PI. 
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										- 
											BQR Artois University, Reasoning with Conceptual Neighbours, PI.
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										  Past Projects:
										 
											- PRC Royal Society : Non-Classical Reasoning for Enhanced Ontology-based Semantic Technologies, P. 
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											-  BQR Artois University: Learning Conceptual Spaces by Disentangling Language Models, PI. 
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											-  PEPS INS2I MODERN :  Merging distributed sOurces for enhanceD quERy aNswering, PI.
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										   - BQR Artois University, Non-Classical Reasoning for Enhanced Ontology-based Technologies, co-I.
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										   - H2020-MSCA-RISE: High Dimensional Heterogeneous Data based Animation Techniques for Southeast Asian Intangible Cultural Heritage Digital Content, P.
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									       -  ANR ASPIQ : ASP technologIes for Querying large scale multisource heterogeneous web information, P.
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										   -  BQR Artois University, Plausible reasoning in logic using Semantic Spaces, PI.
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											-  BQR Artois Unversity: Conceptual Space Learning (Project leader)
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