The University of Southampton

Paolo Pareti PhD

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Research Fellow in the Augmented Safety through Smart EnvironmenTs (ASSET) project.


Research interests

I research effective and scalable ways to develop intelligent systems that can process human procedural knowledge, such as policies and instructions. I am interested in approaches that acquire and represent this kind of knowledge in a way that enables automatic reasoning and learning. I address this problem as a whole, from the extraction of meaning from natural language resources, to the coordination of activities in decentralised multi-agent collaborations.


Chocron, Paula and Pareti, Paolo (2018) Vocabulary alignment for collaborative agents: a study with real-world multilingual how-to instructions. In Proceedings of the 27th International Joint Conference on Artificial Intelligence, IJCAI 2018. vol. 2018-July, International Joint Conferences on Artificial Intelligence. pp. 159-165 . (doi:10.24963/ijcai.2018/22).

Pareti, Paolo, Konstantinidis, Georgios, Norman, Timothy and Şensoy, Murat (2019) SHACL constraints with inference rules. In SHACL Constraints with Inference Rules. Springer. 17 pp .

Pareti, Paolo, Konstantinidis, Georgios, Norman, Timothy and Şensoy, Murat (2019) Rule applicability on RDF triplestore schemas. IJCAI 2019: Workshop on AI for Internet of Things, Macao, Macao. 12 Aug 2019. 7 pp . (In Press)


Email: P.Pareti

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