Filip Ginter
 


figint@utu.fi



Office4th floor, 451A


ORCID identifierhttps://orcid.org/0000-0002-5484-6103

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Areas of expertise
natural language processing; human language technology; machine learning; deep learning; resource development

Research community or research topic
human language technology, natural language processing, machine learning applied to human language, both methodological and resource creation research

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.



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.



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.



Publications
  
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  • Detecting mentions of pain and acute confusion in Finnish clinical text  (2017)  SIGBioMed Workshop on Biomedical Natural Language: Proceedings of the 16th BioNLP Workshop Hans Moen, Kai Hakala, Farrokh Mehryary, Laura-Maria Peltonen, Tapio Salakoski, Filip Ginter, Sanna Salanterä
    (
    A4 Refereed article in a conference publication )


  • Distributional Semantics of the Partitive A Argument Construction in Finnish  (2017)  Empirical Approaches to Cognitive Linguistics: Analysing Real-Life Data Huumo Tuomas, Kyröläinen Aki-Juhani, Kanerva Jenna, Luotolahti M. Juhani, Salakoski Tapio, Ginter Filip, Laippala Veronika
    (
    A3 Refereed book chapter or chapter in a compilation book)


  • End-to-End System for Bacteria Habitat Extraction  (2017)  SIGBioMed Workshop on Biomedical Natural Language: Proceedings of the 16th BioNLP Workshop Farrokh Mehryary, Kai Hakala, Suwisa Kaewphan, Jari Björne, Tapio Salakoski, Filip Ginter
    (
    A4 Refereed article in a conference publication )


  • Ensemble of Convolutional Neural Networks for Medicine Intake Recognition in Twitter  (2017)  
    • CEUR Workshop Proceedings
    Proceedings of the 2nd Social Media Mining for Health Research and Applications Workshop (SMM4H 2017) Kai Hakala, Farrokh Mehryary, Hans Moen, Suwisa Kaewphan, Tapio Salakoski, Filip Ginter
    (
    A4 Refereed article in a conference publication )


  • EPE 2017: The Biomedical Event Extraction Downstream Application  (2017)  Proceedings of the 2017 Shared Task on Extrinsic Parser Evaluation (EPE 2017) at the Fourth International Conference on Dependency Linguistics (Depling 2017) and the 15th International Conference on Parsing Technologies (IWTP 2017) Björne J, Ginter F, Salakoski T
    (
    A4 Refereed article in a conference publication )


  • Fully Delexicalized Contexts for Syntax-Based Word Embeddings  (2017)  
    • Linköping Electronic Conference Proceedings
    Proceedings of the International Conference on Dependency Linguistics (Depling'17) Kanerva Jenna, Pyysalo Sampo, Ginter Filip
    (
    A4 Refereed article in a conference publication )


  • The 2017 Shared Task on Extrinsic Parser Evaluation. Towards a Reusable Community Infrastructure  (2017)  Proceedings of the 2017 Shared Task on Extrinsic Parser Evaluation (EPE 2017) at the Fourth International Conference on Dependency Linguistics (Depling 2017) and the 15th International Conference on Parsing Technologies (IWTP 2017) Oepen S, Øvrelid L, Björne J, Johansson R, Lapponi E, Ginter F, Velldal E
    (
    A4 Refereed article in a conference publication )


  • TurkuNLP: Delexicalized Pre-training of Word Embeddings for Dependency Parsing  (2017)  
    • Annual Meeting of the Association for Computational Linguistics
    Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies Kanerva Jenna, Luotolahti Juhani, Ginter Filip
    (
    A4 Refereed article in a conference publication )


  • An expanded evaluation of protein function prediction methods shows an improvement in accuracy  (2016)  
    • Genome Biology
     Jiang YX, Oron TR, Clark WT, Bankapur AR, D'Andrea D, Lepore R, Funk CS, Kahanda I, Verspoor KM, Ben-Hur A, Koo DCE, Penfold-Brown D, Shasha D, Youngs N, Bonneau R, Lin A, Sahraeian SME, Martelli PL, Profiti G, Casadio R, Cao RZ, Zhong Z, Cheng JL, Altenhoff A, Skunca N, Dessimoz C, Dogan T, Hakala K, Kaewphan S, Mehryary F, Salakoski T, Ginter F, Fang H, Smithers B, Oates M, Gough J, Toronen P, Koskinen P, Holm L, Chen CT, Hsu WL, Bryson K, Cozzetto D, Minneci F, Jones DT, Chapman S, Dukka BKC, Khan IK, Kihara D, Ofer D, Rappoport N, Stern A, Cibrian-Uhalte E, Denny P, Foulger RE, Hieta R, Legge D, Lovering RC, Magrane M, Melidoni AN, Mutowo-Meullenet P, Pichler K, Shypitsyna A, Li B, Zakeri P, ElShal S, Tranchevent LC, Das S, Dawson NL, Lee D, Lees JG, Sillitoe I, Bhat P, Nepusz T, Romero AE, Sasidharan R, Yang HX, Paccanaro A, Gillis J, Sedeno-Cortes AE, Pavlidis P, Feng S, Cejuela JM, Goldberg T, Hamp T, Richter L, Salamov A, Gabaldon T, Marcet-Houben M, Supek F, Gong QT, Ning W, Zhou YP, Tian WD, Falda M, Fontana P, Lavezzo E, Toppo S, Ferrari C, Giollo M, Piovesan D, Tosatto SCE, del Pozo A, Fernandez JM, Maietta P, Valencia A, Tress ML, Benso A, Di Carlo S, Politano G, Savino A, Rehman HU, Re M, Mesiti M, Valentini G, Bargsten JW, van Dijk ADJ, Gemovic B, Glisic S, Perovic V, Veljkovic V, Veljkovic N, Almeida-e-Silva DC, Vencio RZN, Sharan M, Vogel J, Kansakar L, Zhang S, Vucetic S, Wang Z, Sternberg MJE, Wass MN, Huntley RP, Martin MJ, O'Donovan C, Robinson PN, Moreau Y, Tramontano A, Babbitt PC, Brenner SE, Linial M, Orengo CA, Rost B, Greene CS, Mooney SD, Friedberg I, Radivojac P
    (
    A1 Refereed original research article in a scientific journal)


  • Cell line name recognition in support of the identification of synthetic lethality in cancer from text – Cell line name recognition  (2016)  
    • Bioinformatics
     Suwisa Kaewphan, Sofie Van Landeghem, Tomoko Ohta, Yves Van de Peer, Filip Ginter, Sampo Pyysalo
    (
    A1 Refereed original research article in a scientific journal)



Last updated on 30/01/2025 05:59:45 PM