Proceedings of the 5th Conference on Language, Data and Knowledge

Mehwish Alam is an Associate Professor and is leading a research group in Neurosymbolic Artificial Intelligence at Télécom Paris, Institut Polytechnique de Paris, France. Her research topics include Language Models, Natural Language Processing, Graph Learning, Machine/Deep Learning, and Knowledge Graphs. She is part of various projects related to language models and knowledge graphs. She has been a part of the Organization Committee of various conferences such as ESWC, EKAW, Semantics, etc. and is a Senior PC member in ECAI and LREC/COLING. She is currently on the editorial board of Semantic Web Journal and Neurosymbolic AI Journal.

Andon Tchechmedjiev is Associate Professor at Institut Mines-Télécom (IMT Mines Alès) within the SyCoIA laboratory, in the COntext-aware, Robust and EXplainable AI group. With a background in Computer Science and Natural Language Processing, his research interests cover knowledge extraction, computational semantics, deep and reinforcement learning, aspect of computer vision and neuroengineering related to activity monitoring and ergonomics, with application in healthcare and human-centric future industry (5.0). He is task leader for the Adaptive AI pillar of the ENFIELD AI Network of Excellence  Horizon project.

Dr. Jorge Gracia is a senior researcher at the University of Zaragoza and a member of the Aragon Institute of Engineering Research (I3A). His research focuses on semantic technologies, linked data, and knowledge driven language technologies. He has been involved in many international projects and initiatives on such topics. Particularly, Dr. Gracia coordinated the NexusLinguarum COST Action, a joint effort of researchers from 42 countries, which fostered cooperation on the area of Linguistic Data Science.

Dagmar Gromann is Associate Professor at the University of Vienna, Austria, with a background in computer science and computational linguistics. Her research focuses on information extraction, including knowledge as well cognitive linguistic concepts, and social implications of language technologies, such as gender bias in machine translation. To this end, she mainly uses neural as well as participatory action research methods. She is on the editorial board of the Semantic Web, Applied Ontologies and Neurosymbolic AI journal.

Maria Pia di Buono is Assistant Professor (tenure-track) of Modern Languages Teaching at the University of Naples "L'Orientale" where she teaches Translation Studies and Language Technologies.

She was a Post-Doc researcher at European universities and excellence centers, taking part in several national and international research projects.

Her research interests concern Computational Linguistics, lexical semantics and ontologies, and the development of Linguistic Resources and Language Technologies in multilingual environments.

Johanna Monti is Full Professor and Third Mission Delegate at the L’Orientale University of Naples, where she teaches Translation Studies, Specialised Translation, Computational Linguistics for Translation, and Machine and Computer Aided Translation. She is the Chief Scientist of the UNIOR NLP Research Group, a node in Natural Language Processing and Computational Linguistics of the CINI Italian Lab on Artificial Intelligence and Intelligent Systems and Director of the Interinstitutional Research Centre Eliza- Humanities and Social Sciences for Artificial Intelligence. Her current research activities focus on Machine Translation, specifically the impact of MT on the translation process and the evaluation of new translation technologies.

Maxim Ionov works as a research assistant at the University of Zaragoza, Spain as a member of the Distributed Information Systems research group. His main research interests lie on the intersection of linguistic linked data, linguistic typology and digital humanities, where he uses graph technologies to increase (re)usability of linguistic resources, primarily for less-resource languages.