Christian Lovis

Vasiliki Foufi

Dr. Vasiliki Foufi

Computational Linguist

Campus Biotech G6
+41 22 379 08 10

Curriculum vitae

Vasiliki Foufi holds a Phd in Computational Linguistics and a Master in Applications of Technology in Language Sciences and Communication. She has conducted postdoctoral research in information extraction, in the recognition of complex structures and named entities, in corpus annotation and parsing using Natural Language Processing (NLP) tools. She has constructed linguistic resources for Greek and French and has worked for the construction of a Greek spelling corrector. She has also contributed in the adaptation of the NLP tools Unitex, Multiflex, TreeCloud and Fips for the Greek language. Since October 2016, her studies focus on the application of NLP tools to medical data.

Research domains

Natural Language Processing (NLP)

Data science: Information Extraction (Big data)

De-identification of medical data

Construction of lexico-semantic resources (dictionaries, local grammars)

Data visualization

Named-Entity Recognition (NER)

Corpus annotation






Détection des effets indésirables graves (EIG) par « data mining »

Big data analytics-driven surveillance of postmarket drug side effects

Publications (selection)

Gaudet-Blavignac C., Foufi V., Wehrli E. & Lovis C. (2018), Automatic Annotation of French Medical Narratives with SNOMED CT Concepts, Stud Health Technol Inform. 247:710–714.

Foufi V., Gaudet-Blavignac C., Chevrier R., & Lovis C. (2017). De-identification of medical narrative data. In Studies in Health Technology and Informatics. IOS Press, 244:23–27.

Foufi V., Nerima L., & Wehrli E. (2017). Parsing and MWE Detection. In Yannick Parmentier & Jakub Waszczuk (eds.) Representation and parsing of multiword expressions, 225–246. Berlin: Language Science Press.

Foufi V., Nerima L., & Wehrli E. (2017). Parsing and MWE Detection: Fips at the PARSEME Shared Task. In Proceedings of the 13th Workshop on Multiword Expressions (MWE 2017), 54–59, Valencia, Spain, April 4. 2017 Association for Computational Linguistics.

Medical Semantics and Data Analysis