Zied Bouraoui

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.

• 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.

On going projects:

• ANR JCJC ERIANA: Event-Centric Reasoning for Interpreting Everyday Narratives, Principal Investigator (PI). Find out more
• ANR CHAIRE IA BE4musIA: BElief change FOR better MUlti-Source Information Analysis, co-I. Find out more
• ANR VIVAH. Vers une Intelligence Artificielle à Visage Humain. P. Find out more
• ICT-48 European networks of AI excellence centres, Foundations of Trustworthy AI – Integrating Reasoning, Learning and Optimization, P. Find out more
• CNRS FEI EMILIE : Explainable Multi-label few-shot Image cLassifica$on with qualitative constraint networks and word Embeddings, PI. Find out more
• BQR Artois University, Reasoning with Conceptual Neighbours, PI. Find out more

Past Projects:

• PRC Royal Society : Non-Classical Reasoning for Enhanced Ontology-based Semantic Technologies, P. Find out more
• BQR Artois University: Learning Conceptual Spaces by Disentangling Language Models, PI. Find out more
• PEPS INS2I MODERN : Merging distributed sOurces for enhanceD quERy aNswering, PI. Find out more
• BQR Artois University, Non-Classical Reasoning for Enhanced Ontology-based Technologies, co-I. Find out more
• H2020-MSCA-RISE: High Dimensional Heterogeneous Data based Animation Techniques for Southeast Asian Intangible Cultural Heritage Digital Content, P. Find out more
• ANR ASPIQ : ASP technologIes for Querying large scale multisource heterogeneous web information, P. Find out more
• BQR Artois University, Plausible reasoning in logic using Semantic Spaces, PI. Find out more
• BQR Artois Unversity: Conceptual Space Learning (Project leader) Find out more