Filip Ginter
figint@utu.fi : 4th floor, 451A |
natural language processing; human language technology; machine learning; deep learning; resource development
human language technology, natural language processing, machine learning applied to human language, both methodological and resource creation research
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.
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.
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.
- Supporting the use of standardized nursing terminologies with automatic subject heading prediction: a comparison of sentence-level text classification methods (2020)
- Journal of the American Medical Informatics Association
- The FISKMO project: Resources and tools for Finnish-Swedish machine translation and cross-linguistic research (2020) Proceedings of the 12th Language Resources and Evaluation Conference Jörg Tiedemann, Tommi Nieminen, Mikko Aulamo, Jenna Kanerva, Akseli Leino, Filip Ginter, Niko Papula
- The reuse of texts in Finnish newspapers and journals, 1771–1920: A digital humanities perspective (2020)
- Historical Methods: A Journal of Quantitative and Interdisciplinary History
- Turku Enhanced Parser Pipeline: From Raw Text to Enhanced Graphs in the IWPT 2020 Shared Task (2020)
- Annual Meeting of the Association for Computational Linguistics
- Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection (2020) Proceedings of the 12th Language Resources and Evaluation Conference Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Jan Hajič, Christopher D. Manning, Sampo Pyysalo, Sebastian Schuster, Francis Tyers, Daniel Zeman
- Is Multilingual BERT Fluent in Language Generation? (2019)
- Linköping Electronic Conference Proceedings
- Neural Dependency Parsing of Biomedical Text: TurkuNLP entry in the CRAFT Structural Annotation Task (2019) Proceedings of the 5th Workshop on BioNLP Open Shared Tasks Thang Minh Ngo, Jenna Kanerva, Filip Ginter, Sampo Pyysalo
- Parse me if you can: Artificial treebanks for parsing experiments on elliptical constructions (2019) LREC 2018 - 11th International Conference on Language Resources and Evaluation Droganova K., Zeman D., Kanerva J., Ginter F.
- Proceedings of the First NLPL Workshop on Deep Learning for Natural Language Processing (2019) Joakim Nivre, Filip Ginter, Stephan Oepen, Jörg Tiedemann
- Reconsidering Authorship in the Ciceronian Corpus through Computational Authorship Attribution (2019)
- Ciceroniana On Line
- Tekstien pitkä elämä: Ajassa liikkuvat tekstit suomalaisessa sanomalehdistössä 1771-1920 (2019)
- Ennen ja Nyt : Historian Tietosanomat
- Tekstien uudelleenkäyttö suomalaisessa sanoma- ja aikakauslehdistössä 1771–1920. Digitaalisten ihmistieteiden näkökulma (2019)
- Historiallinen Aikakauskirja
- Template-free Data-to-Text Generation of Finnish Sports News (2019)
- Linköping Electronic Conference Proceedings
- The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens (2019)
- Genome Biology
- The Long-Term Reuse of Text in the Finnish Press, 1771–1920 (2019)
- CEUR Workshop Proceedings
- A bottom-up analysis of sentence-initial DRDs in the Finnish Internet (2018) Veronika Laippala, Aki-Juhani Kyröläinen, Filip Ginter, Jenna Kanerva, Johanna Komppa, Jyrki
Kalliokoski - Återanvändningen av text i den finska tidningspressen 1771–1853 (2018)
- Historisk Tidskrift För Finland
- Combining support vector machines and LSTM networks for chemical-protein relation extraction (2018) Proceedings of the BioCreative VI Workshop Farrokh Mehryary, Jari Björne, Tapio Salakoski, Filip Ginter
- CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies (2018) Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies Daniel Zeman, Jan Hajiˇc, Martin Popel, Martin Potthast, Milan Straka, Filip Ginter, Joakim Nivre, Slav Petrov
- Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task (2018)
- Journal of the American Medical Informatics Association



