Scholar
Paul Van Eecke
Google Scholar ID: WWZim-8AAAAJ
Artificial Intelligence Laboratory - Vrije Universiteit Brussel
Citations & Impact
Citations
491
H-index
13
i10-index
19
Publications
20
Co-authors
27
list available
Publications
Resume (English only)
Academic Achievements
- Publications can be found on the VUB PURE platform.
Research Experience
- From 2014 to 2017, he worked as an assistant researcher at Sony Computer Science Laboratories Paris, where he carried out research on implementing construction grammars and became one of the main developers of the Fluid Construction Grammar (FCG) system. From 2018 to 2022, he served as a postdoctoral researcher and lecturer at the Vrije Universiteit Brussel's Artificial Intelligence Laboratory, involved in the H2020 ODYCCEUS project and lectured computer science courses. Since 2020, funded by a postdoctoral fellowship from the Research Foundation Flanders (FWO), he has been conducting research on automatically learning construction grammars at the VUB AI-Lab and KU Leuven.
Education
- He obtained master's degrees in Artificial Intelligence (summa cum laude, 2013) and Linguistics (summa cum laude, 2012) from KU Leuven, and a PhD Degree in Computer Science (2018) from the Vrije Universiteit Brussel's Artificial Intelligence Laboratory.
Background
- His main research interests include the emergence and evolution of language through communicative interactions, computational construction grammar and its applications, and the use of a combination of symbolic and subsymbolic AI techniques for solving advanced perception, reasoning, and communication tasks.
