Hello! I am a PhD student in Natural Language Processing in my fourth (last) year. I have been investigating how to improve the ability of semantic NLP systems when interpreting long-tail identities. In my thesis, I propose focusing on five aspects of this challenge: description/definition, analysis, improvement of evaluation, enabling access to more knowledge, and building knowledge-intensive systems. The topics covered and the skills employed stem from ideas in various AI fields: semantic NLP, semantic web, and neural networks.
I am supervised by Piek Vossen, Frank Van Harmelen, Stefan Schlobach, and Marieke van Erp. In 2017, I spent ~7 months as a research visitor at the Language Technologies Institute at Carnegie Mellon University, under supervision of Ed Hovy.
I have experience with a wide range of programming languages, databases, and techniques. My preferred programming language is Python (particularly the scientific Python stack). For a detailed information on my experience, skills, teaching, reviewing, organization, etc., please check my CV.
After obtaining my PhD degree, I intend to proceed working on the long-tail challenge in semantic NLP by applying AI methods.