Sampo Pyysalo
sampo.pyysalo@utu.fi ORCID-tunniste: https://orcid.org/0000-0002-6279-5000 |
natural language processing; machine learning; scientific text mining
I am a researcher in the TurkuNLP group (https://turkunlp.org/) and Research Fellow at the Department of Computing, University of Turku. My work focuses on machine learning for natural language processing, with particular application domains including scientific text mining, Finnish language technology, and large language models.
After defending my PhD thesis in computer science at the University of Turku, I held researcher positions at the University of Tokyo, University of Manchester and University of Cambridge before returning to the University of Turku in 2019.
The primary focus of my research is on natural language processing using machine learning approaches, with recent emphasis on deep learning methods and large language models. I have been working on scientific text mining as an application area for nearly 20 years, with specific focus on the English biomedical literature, and have in recent years also addressed a variety of tasks in the processing of Finnish text as well as multi- and cross-lingual applications. My work covers the full range of natural language processing development from initial task design to the development of practical applications and organizing community challenges, including also running manual annotation efforts and developing annotation tools and machine learning methods for various natural language processing tasks.
My current teaching focuses on the natural language processing study module shared between the departments of Languages and Computing, with courses ranging from introductory to a course on deep learning for natural language processing.
- 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 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Kohti suomenkielisiä keskustelumalleja: tule kehittämään tekoälyä (2023)
- Hiiskuttua: Turun yliopiston humanistisen tiedekunnan verkkolehti
(D1 Artikkeli ammattilehdessä) - Multi-CrossRE A Multi-Lingual Multi-Domain Dataset for Relation Extraction (2023)
- NEALT proceedings series
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Overview of DrugProt task at BioCreative VII: data and methods for large-scale text mining and knowledge graph generation of heterogenous chemical-protein relations (2023)
- Database: The Journal of Biological Databases and Curation
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - S1000: a better taxonomic name corpus for biomedical information extraction (2023)
- Bioinformatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Scaling Data-Constrained Language Models (2023)
- Advances in Neural Information Processing Systems
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - 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 Vertaisarvioitu artikkeli konferenssijulkaisussa) - The STRING database in 2023: protein-protein association networks and functional enrichment analyses for any sequenced genome of interest (2023)
- Nucleic Acids Research
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Toxicity Detection in Finnish Using Machine Translation (2023)
- NEALT proceedings series
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Register identification from the unrestricted open Web using the Corpus of Online Registers of English (2022)
- Language Resources and Evaluation
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )



