Name: Suzan Verberne
Date of birth: April 29, 1980
From March 1st, 2017, I have been employed as an Assistant Professor at the Leiden Institute of Advanced Computer Science (LIACS). I am affiliated with the Data Science Research Programme of the Leiden Centre of Data Science.
- 2012 – 2017: Radboud University Nijmegen, Faculty of Science, Institute for Computing and Information Sciences. Postdoctoral researcher. PhD supervision: Maya Sappelli
- 2009 – 2017: Radboud University Nijmegen, Faculty of Arts, Centre for Language & Speech Technology (permanent position). Researcher. PhD supervision: Eva D’hondt
- 2011: University of Wolverhampton, Research Institute in Information and Language Processing. Visiting Lecturer in the International Masters in Natural Language Processing and Human Language Technology
- 2010: University of Wolverhampton, Research Institute in Information and Language Processing. Visiting Researcher in the Research Group in Computational Linguistics. Main research topic: anaphora resolution for patent texts
- 2008: University of Amsterdam, Intelligent Systems Lab. Visiting PhD student in the Information and Language Processing Systems group (ILPS)
- 2005 – 2009: Radboud University Nijmegen, Department of Linguistics. PhD candidate in Natural Language Processing/Information Retrieval
- 2003 – 2004: Polderland Language and Speech Technology. Linguistic Engineer and Project Manager. Summary of tasks: Writing functional designs for proofing tools applications; creating and improving language resources, data conversions; planning and coordination of small (2 programmers) projects.
- 2003: Radboud University Nijmegen, Department of Language & Speech. Junior Teacher (temporal replacement)
- 2000 – 2002: Katholieke Universiteit Nijmegen, Department of Language & Speech. Student assistant for the Spoken Dutch Corpus. Summary of tasks: Correcting PoS tagging and lemmatization in the corpus; coordinating the work of 8 fellow students and communication with other project teams.
- 2017: Our paper Evaluation and analysis of term scoring methods for term extraction (Suzan Verberne, Maya Sappelli, Djoerd Hiemstra, Wessel Kraaij) was selected as one of ACM Computing Reviews’ 2016 Best of Computing.
- 2016: The paper “Evaluation and analysis of term scoring methods for term extraction ” (Suzan Verberne, Maya Sappelli, Djoerd Hiemstra, Wessel Kraaij) was selected as one of ACM Computing Reviews’ 2016 Best of Computing.
- 2016: Best paper honorable mention at CLEF 2016 for the paper “Show Me How to Tie a Tie: Evaluation of Cross-Lingual Video Retrieval“, Pavel Braslavski, Suzan Verberne, and Ruslan Talipov
- 2014: John Wiley Best JASIST Paper Award for the paper “Reliability and Validity of Query Intent Assessments”, Suzan Verberne, Maarten van der Heijden, Max Hinne, Maya Sappelli, Saskia Koldijk, Eduard Hoenkamp and Wessel Kraaij (volume 64, issue 11)
- 2011: Award from the Google Digital Humanities Europe programme ($50,000)
- 2010: Grant in the Lifelong Learning Programme (Erasmus staff training) (€1,705)
- See a list of publications here.
- See a list of projects here.
- Programming/scripting in Python (including scikit-learn), Perl and Java
- LaTeX, Subversion, R, WordPress, EasyChair, Paydro, Adobe InDesign, Gimp
- Languages: native speaker of Dutch, good proficiency in English
- 2005 – 2009: Radboud University Nijmegen
PhD in Natural Language Processing/Information Retrieval
Dissertation: In Search of the Why: developing a system for answering why-questions (See this page)
- 1998 – 2002: Katholieke Universiteit Nijmegen
BA in Language and Speech Technology
MA in Natural Language Processing
Thesis: Context-sensitive spell checking based on word trigram probabilities (pdf)
- 1992 – 1998: De Grundel, Hengelo
Gymnasium with science subjects and languages