Filip Ginter
figint@utu.fi Office: 4th floor, 451A ORCID identifier: https://orcid.org/0000-0002-5484-6103 |
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.
- (2024) Sipilä, Matilda; Mehryary, Farrokh; Pyysalo, Sampo; Ginter, Filip; Todorović Milica
(Abstract) - Automatic Short Answer Grading for Finnish with ChatGPT (2024)
- Proceedings of the AAAI Conference on Artificial IntelligenceCEUR Workshop Proceedings
(A4 Refereed article in a conference publication ) - (2024)
- International Conference on Information Technology Based Higher Education and Training
(A4 Refereed article in a conference publication ) - Extracting Social Connections from Finnish Karelian Refugee Interviews Using LLMs (2024)
(A4 Refereed article in a conference publication ) - Question Answering models for information extraction from perovskite materials science literature (2024) 2024 MRS Fall Meeting and Exhibit Sipilä, Matilda; Mehryary, Farrokh; Pyysalo, Sampo; Ginter, Filip, Todorović, Milica
(Abstract) - Semantic search as extractive paraphrase span detection (2024)
- Language Resources and Evaluation
(A1 Refereed original research article in a scientific journal) - FinGPT: Large Generative Models for a Small Language (2023) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing Luukkonen Risto, Komulainen Ville, Luoma Jouni, Eskelinen Anni, Kanerva Jenna, Kupari Hanna-Mari, Ginter Filip, Laippala Veronika, Muennighoff Niklas, Piktus Aleksandra, Wang Thomas, Tazi Nouamane, Scao Le Teven, Wolf Thomas, Suominen Osma, Sairanen Samuli, Merioksa Mikko, Heinonen Jyrki, Vahtola Aija, Antao Samuel, Pyysalo Sampo
(A4 Refereed article in a conference publication ) - Identifying gender bias in blockbuster movies through the lens of machine learning (2023)
- Humanities & social sciences communications
(A1 Refereed original research article in a scientific journal) - (2023)
- Media History
(A1 Refereed original research article in a scientific journal) - Multi-CrossRE A Multi-Lingual Multi-Domain Dataset for Relation Extraction (2023)
- NEALT proceedings series
(A4 Refereed article in a conference publication ) - Silver Syntax Pre-training for Cross-Domain Relation Extraction (2023) Findings of the Association for Computational Linguistics: ACL 2023 Bassignana Elisa, Ginter Filip, Pyysalo Sampo, van der Goot Rob, Plank Barbara
(A4 Refereed article in a conference publication ) - (2023)
- Natural Language EngineeringCEUR Workshop Proceedings
(A1 Refereed original research article in a scientific journal) - Toxicity Detection in Finnish Using Machine Translation (2023)
- NEALT proceedings series
(A4 Refereed article in a conference publication ) - Deep Learning and Film History: Model Explanation Techniques in the Analysis of Temporality in Finnish Fiction Film Metadata (2022)
(A4 Refereed article in a conference publication ) - 2022
- CEUR Workshop Proceedings
(A4 Refereed article in a conference publication ) - Explainable Publication Year Prediction of Eighteenth Century Texts with the BERT Model (2022) Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change Rastas Iiro, Ryan Yann, Tiihonen Iiro, Qaraei Mohammedreza, Repo Liina, Babbar Rohit, Mäkelä Eetu, Tolonen Mikko, Ginter Filip
(A4 Refereed article in a conference publication ) - Explaining Classes through Stable Word Attributions (2022)
- Annual Meeting of the Association for Computational LinguisticsIEEE/ACM Transactions on Computational Biology and Bioinformatics
(A4 Refereed article in a conference publication ) - (2022) Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations Gehrmann Sebastian, Bhattacharjee Abhik, Mahendiran Abinaya, Wang Alex, Papangelis Alexandros, Madaan Aman, McMillan-Major Angelina, Shvets Anna, Upadhyay Ashish, Bohnet Bernd, Yao Bingsheng, Wilie Bryan, Bhagavatula Chandra, You Chaobin, Thomson Craig, Garbacea Cristina, Wang, Dakuo, Deutsch Daniel, Xiong Deyi, Jin Di, Gkatzia Dimitra, Radev Dragomir, Clark Elizabeth, Durmus Esin, Ladhak Faisal, Ginter Filip, Winata Genta Indra, Strobelt, Hendrik, Hayashi, Hiroaki, Novikova Jekaterina, Kanerva Jenna, Chim Jenny, Zhou Jiawei, Clive Jordan, Maynez Joshua, Sedoc João, Juraska Juraj, Dhole Kaustubh, Chandu Khyathi Raghavi, Perez-Beltrachini Laura, Ribeiro Leonardo F.R., Tunstall Lewis, Zhang Li, Pushkarna Mahima, Creutz Mathias, White Michael, Kale Mihir Sanjay, Eddine Moussa Kamal, Daheim Nico, Subramani, Nishant, Dusek Ondrej, Liang Paul Pu, Ammanamanchi Pawan Sasanka, Zhu Qi, Puduppully Ratish, Kriz Reno, Shahriyar Rifat, Cardenas Ronald, Mahamood Saad, Osei Salomey, Cahyawijaya Samuel, Štajner Sanja, Montella Sebastien, Jolly Shailza, Mille Simon, Hasan Tahmid, Shen Tianhao, Adewumi Tosin, Raunak Vikas, Raheja Vipul, Nikolaev Vitaly, Tsai Vivian, Jernite Yacine, Xu Ying, Sang Yisi, Liu Yixin, Hou Yufang
(A4 Refereed article in a conference publication ) - Neural Network and Random Forest Models in Protein Function Prediction (2022)
(A1 Refereed original research article in a scientific journal) - Out-of-Domain Evaluation of Finnish Dependency Parsing (2022)
- LREC Proceedings
(A4 Refereed article in a conference publication )
