Jari Björne
PhD
jakrbj@utu.fi Vesilinnantie 5 Turku ORCID identifier: https://orcid.org/0000-0003-1722-6404 |
Machine Learning, Big Data, BioNLP
Artificial Intelligence, Bioinformatics, Text Mining
I am a docent of biomedical data science. I graduated as a doctor of computer science in 2014, and as a master of biotechnology in 2008. After my PhD I worked for three years as an Academy of Finland post-doctoral researcher.
My primary research focus is text mining from scientific literature using machine learning, with the intent to provide novel methods and applications to aid in bioscientific research. In these areas I have contributed the TEES (Turku Event Extraction System) machine learning software which was also the focus of my PhD thesis. Central additional research tasks include the CAFA (automated protein function prediction) task and organizing the EPE (extrinsic parser evaluation) shared task.
I have been working in the AI academy project since 2020 and I'm currently a lecturer in this project. Due to my cross-disciplinary background I'm particularly interested in approaches to illustrate and elucidate computer science concepts also for people coming from non-CS backgrounds.
- A Large-Scale Evaluation of Computational Protein Function Prediction (2013)
- Nature Methods
(A1 Refereed original research article in a scientific journal) - Analyzing the Japanese Toxicogenomics Project Dataset with SVM and RLS Classifiers (2013) 13th Annual International Conference on Critical Assessment of Massive Data Analysis (CAMDA 2013) Björne J, Airola A, Pahikkala T, Salakoski T
(Other publication) - Large-scale event extraction from literature with multi-level gene normalization (2013)
- PLoS ONE
(A1 Refereed original research article in a scientific journal) - TEES 2.1: Automated annotation scheme learning in the BioNLP 2013 Shared Task (2013) Proceedings of the BioNLP Shared Task 2013 Workshop Jari Björne, Tapio Salakoski
(A4 Refereed article in a conference publication ) - UTurku: Drug Named Entity Recognition and Drug-Drug Interaction Extraction Using SVM Classification and Domain Knowledge (2013) Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013) Jari Björne, Suwisa Kaewphan, Tapio Salakoski
(A4 Refereed article in a conference publication ) - PubMed-Scale Event Extraction for Post-Translational Modifications, Epigenetics and Protein Structural Relations (2012) BioNLP: Proceedings of the 2012 Workshop on Biomedical Natural Language Processing Björne J, Van Landeghem S, Pyysalo S, Ohta T, Ginter F, Van de Peer Y, Ananiadou S, Salakoski T
(A4 Refereed article in a conference publication ) - Semantically linking molecular entities in literature through entity relationships (2012)
- BMC Bioinformatics
(A1 Refereed original research article in a scientific journal) - University of Turku in the BioNLP'11 Shared Task (2012)
- BMC Bioinformatics
(A1 Refereed original research article in a scientific journal) - A Machine Learning Model and Evaluation of Text Mining for Protein Function Prediction (2011) Björne Jari, Salakoski Tapio
(A4 Refereed article in a conference publication ) - Drug-Drug Interaction Extraction with RLS and SVM Classifiers (2011)
- CEUR Workshop Proceedings
(A4 Refereed article in a conference publication )



