Daniel Ferrés

Dr. Daniel Ferrés is a Researcher at the Large Scale Text Understanding Systems Lab (LaSTuS) and member of the TALN research group at Universitat Pompeu Fabra's Department of Information and Communication Technologies (DTIC). He is involved in the ConMuTeS Project, focusing on advancing text simplification and accessibility technologies. His work bridges Natural Language Processing (NLP), Information Retrieval (IR), and Machine Learning, with applications in scientific text mining and geographical information systems. Ferrés holds a PhD and M.A.S. in Artificial Intelligence from Universitat Politècnica de Catalunya (UPC) and a BSc in Computer Science & Engineering from Universitat de Girona.

His research interests include text simplification, information retrieval, and georeferencing, with a focus on multilingual systems and accessibility solutions. He has contributed to projects like PDFdigest (a PDF-to-XML converter) and systems for accessible email clients. His publications emphasize lexical simplification datasets (e.g., ALEXSIS for Spanish), cross-lingual NLP architectures, and geospatial text analysis techniques. Ferrés has also participated in initiatives like MediaEval Placing Task and GeoCLEF challenges, showcasing expertise in integrating geographical knowledge with NLP systems.

His work trends reflect a strong emphasis on improving accessibility through NLP, with recent efforts on multilingual lexical simplification benchmarks and shared tasks. Earlier contributions include tools for scientific text mining, morphological generation in Spanish, and adaptive lexical simplification systems for Ibero-Romance languages. Ferrés collaborates closely with academic and industry partners, advancing both theoretical and applied aspects of computational linguistics.