Filip Ginter profile picture
Filip
Ginter
Professor, Data analytics
human language technology, natural language processing, machine learning applied to human language, both methodological and resource creation research

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CV_Filip_Ginter_Aug_2022.pdf
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Areas of expertise

natural language processing
human language technology
machine learning
deep learning
resource development

Biography

I am a researcher at the Department of Computing, University of Turku. My research is in the area of natural language processing. I belong to the TurkuNLP (turkunlp.org) research group.

I was born in 1978 in Ostrava, Czech Republic (Czechoslovakia back then). In 2001, I got a M.Sc. (tech) in computer science at the computer science department of VSB - Technical University Ostrava. My major subject was artificial intelligence. I gained a PhD in computer science in 2007. The title of my thesis is Towards Information Extraction in the Biomedical Domain: Methods and Resources.

As of 2022, I am a professor of language technology and as of 2021 the deputy director of the Department of Computing.

Teaching

I have been actively teaching since early on during my PhD studies. I independently prepared my first advanced level NLP course in 2004, and since ca. 2008 I have been teaching at least one course every year, substantially more during my bioinformatics lecturer appointment. While a lecturer in the bioinformatics MSc degree programme, I was lecturing international students in two cities. In 2016, I was tasked with developing and coordinating the introduction of a new 20 ECTS study module on natural language processing. This module is, with modifications, still in use and shared between the departments of Languages and Computing, both in terms of teaching and in terms of students. In 2019-2020 and 2020-2021 I was also co-lecturing, upon invitation, two courses in natural language processing in the Arcada University of Applied Sciences in Helsinki.

Research

My primary field of research is language technology / natural language processing. In my post-PhD career, I have focused on the development of NLP tools and resources primarily for Finnish, but later also numerous other languages via the Universal Dependencies project. My work is heavy on resource development, both in terms of data and machine learning pipelines. Open science and resources play an important role in my research, much of which is carried out in the open on GitHub and as a rule, all resources are openly available for unrestricted use. I work collaboratively, especially with my younger colleagues, rather than striving for deeper, primary author inquiries.

Publications

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Sharing annotations better: RESTful Open Annotation (2015)

International joint conference on natural language processing
Pyysalo Sampo, Campos Jorge, Cejuela Juan Miguel, Ginter Filip, Hakala Kai, Li Chen, Stenetorp Pontus, Jensen Lars Juhl
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Universal Dependencies for Finnish (2015)

Nordic Conference on Computational Linguistics
Sampo Pyysalo, Jenna Kanerva, Anna Missilä, Veronika Laippala, Filip Ginter
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Towards Universal Web Parsebanks (2015)

International Conference on Dependency Linguistics (Depling)
Juhani Luotolahti, Jenna Kanerva, Veronika Laippala, Sampo Pyysalo , Filip Ginter
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))

Statistical parsing of varieties of clinical Finnish (2014)

Artificial Intelligence in Medicine
Veronika Laippala, Timo Viljanen, Antti Airola, Jenna Kanerva, Sanna Salanterä, Tapio Salakoski, Filip Ginter
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
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