Carlos Gómez-Rodríguez received his M.Sc. and Ph.D. degrees in computer science from the University of A Coruña in 2005 and 2009, respectively, and is currently Associate Professor in the same institution. His research centers on Computational Linguistics, with special focus on natural language parsing, and he has authored a monograph and over 70 peer-reviewed papers in this field. His contributions include both theoretical and empirical work on constituency and dependency-based parsing algorithms, as well as on applications of parsing to other natural language processing tasks, and research on cognitive aspects of the syntax of human languages. He is Principal Investigator of the FASTPARSE project, funded by an ERC Starting Grant, as well as of a project funded by the Spanish MINECO.
Daniel Fernández González
Daniel Fernández González received M.Sc. and Ph.D. degrees in Computer Science from the University of Vigo in 2010 and the University of Coruña in 2015, respectively. He is currently a Postdoctoral Researcher at the University of Coruña working on the FASTPARSE project led by Prof. Carlos Gómez-Rodríguez. His main research focus is on natural language parsing and he has authored several papers in this field. His contributions include both theoretical and empirical work on data-driven constituency and dependency-based parsing algorithms, being especially interested in transition-based dependency parsing.
David Vilares Calvo is currently a posdoctoral researcher at FASTPARSE. He received his Ph.D. in Computer Science from University of A Coruña (Spain) in 2017. As postgraduate student, he also was a visiting scholar at the University of Wolverhampton (UK), Nanyang Technological University (Singapore) and Aston University (UK). David's research interests lie in the field of Natural Language Processing and include syntactic parsing, multilingual NLP and syntax-based sentiment analysis.
Ph. D. students
Michalina Strzyz received her B.Sc. in Computer Science and M.A. in Linguistics from the University of Oslo in Norway and attended one year exchange program in Artificial Intelligence at the Utrecht University in the Netherlands. She is currently a PhD student in the FASTPARSE project at the University of A Coruña. Given her interdisciplinary background and possession of high proficiency in several languages as Polish, English, Norwegian and German, her research focus is on natural language parsing.
Mark Anderson obtained an MA in Classics & Physics at the University of Glasgow in 2011. Also at the University of Glasgow, he completed a PhD in Hadron Spectroscopy with the Nuclear and Hadron Physics group in 2015. During his PhD he worked in Italy with INFN Genova and also spent time at Jefferson Laboratory, MAX-lab, and the Mainz Microtron. Latterly, he completed an MSc in Informatics at the University of Edinburgh, focusing on natural language processing. He is now a PhD student again at the University of A Coruña working on the FASTPARSE project. His research is focused on cognitive inspired parsing techniques.
Mónica Pérez Rama
Mónica Pérez-Rama received her M.Sc. and Ph.D. degrees in Biology from the University of A Coruña in 1998 and 2005, respectively. Later, she completed the program Network of Innovation Managers of Galicia (XIGA Network) from Xunta de Galicia in 2010 with specialized training in innovation management. She increased this knowledge with specific training in European Projects Management. Her main role in FASTPARSE project is to perform the necessary duties for its daily economic and administrative management.