Jari Björne

Orcid: 0000-0003-1722-6404

  • University of Turku, Finland

According to our database1, Jari Björne authored at least 31 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


Online presence:

On csauthors.net:


AI-Assisted Learning with ChatGPT and Large Language Models: Implications for Higher Education.
Proceedings of the IEEE International Conference on Advanced Learning Technologies, 2023

Neural Network and Random Forest Models in Protein Function Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Striving for platform independence in the e-learning landscape: a study on a flexible exercise creation system.
Proceedings of the International Conference on Advanced Learning Technologies, 2022

BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine.
J. Biomed. Semant., 2021

Towards Automated Screening of Literature on Artificial Intelligence in Nursing.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Propagating AI Knowledge Across University Disciplines- The Design of A Multidisciplinary AI Study Module.
Proceedings of the IEEE Frontiers in Education Conference, 2020

Potent pairing: ensemble of long short-term memory networks and support vector machine for chemical-protein relation extraction.
Database J. Biol. Databases Curation, 2018

The 2018 Shared Task on Extrinsic Parser Evaluation: On the Downstream Utility of English Universal Dependency Parsers.
Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, Brussels, Belgium, October 31, 2018

Biomedical Event Extraction Using Convolutional Neural Networks and Dependency Parsing.
Proceedings of the BioNLP 2018 workshop, Melbourne, Australia, July 19, 2018, 2018

End-to-End System for Bacteria Habitat Extraction.
Proceedings of the BioNLP 2017, Vancouver, Canada, August 4, 2017, 2017

UTU at SemEval-2016 Task 10: Binary Classification for Expression Detection (BCED).
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Deep Learning with Minimal Training Data: TurkuNLP Entry in the BioNLP Shared Task 2016.
Proceedings of the 4th BioNLP Shared Task Workshop, BioNLP 2016, 2016

TEES 2.2: Biomedical Event Extraction for Diverse Corpora.
BMC Bioinform., December, 2015

UTurku: Drug Named Entity Recognition and Drug-Drug Interaction Extraction Using SVM Classification and Domain Knowledge.
Proceedings of the 7th International Workshop on Semantic Evaluation, 2013

TEES 2.1: Automated Annotation Scheme Learning in the BioNLP 2013 Shared Task.
Proceedings of the BioNLP Shared Task 2013 Workshop, Sofia, 2013

Semantically linking molecular entities in literature through entity relationships.
BMC Bioinform., 2012

University of Turku in the BioNLP'11 Shared Task.
BMC Bioinform., 2012

PubMed-Scale Event Extraction for Post-Translational Modifications, Epigenetics and Protein Structural Relations.
Proceedings of the 2012 Workshop on Biomedical Natural Language Processing, 2012

Extracting Contextualized Complex Biological Events with Rich Graph-Based Feature Sets.
Comput. Intell., 2011

U-Compare bio-event meta-service: compatible BioNLP event extraction services.
BMC Bioinform., 2011

Generalizing Biomedical Event Extraction.
Proceedings of BioNLP Shared Task 2011 Workshop, Portland, Oregon, USA, June 24, 2011, 2011

Event extraction on PubMed scale.
BMC Bioinform., 2010

Complex event extraction at PubMed scale.
Bioinform., 2010

Reconstruction of Semantic Relationships from Their Projections in Biomolecular Domain.
Proceedings of the 2010 Workshop on Biomedical Natural Language Processing, 2010

Scaling up Biomedical Event Extraction to the Entire PubMed.
Proceedings of the 2010 Workshop on Biomedical Natural Language Processing, 2010

Learning to Extract Biological Event and Relation Graphs.
Proceedings of the 17th Nordic Conference of Computational Linguistics, 2009

Extracting Complex Biological Events with Rich Graph-Based Feature Sets.
Proceedings of the BioNLP 2009 Workshop Companion Volume for Shared Task, BioNLP@HLT-NAACL 2009, 2009

Comparative analysis of five protein-protein interaction corpora.
BMC Bioinform., 2008

All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning.
BMC Bioinform., 2008

A Graph Kernel for Protein-Protein Interaction Extraction.
Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing, 2008

BioInfer: a corpus for information extraction in the biomedical domain.
BMC Bioinform., 2007