Simon Clematide

Simon Clematide serves as an Academic Associate at the Institute of Computational Linguistics at the University of Zurich. With a doctorate in Computational Linguistics, he specializes in natural language processing, focusing on morphology, terminology, and syntactic dependencies. His research explores methods for automatically extracting knowledge from natural language texts, contributing significantly to the field through numerous publications in biomedical concept recognition, named entity processing, and morphological analysis. His work has been extensively cited in academic literature, particularly for contributions to text mining and digital humanities. As an instructor and researcher, he has participated in and co-organized various shared tasks from 2017 to 2022, demonstrating his commitment to collaborative research and practical problem-solving in computational linguistics.