Kai Hakala

Orcid: 0000-0001-8943-7011

According to our database1, Kai Hakala authored at least 20 papers between 2012 and 2022.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

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

Combining supervised and unsupervised named entity recognition to detect psychosocial risk factors in occupational health checks.
Int. J. Medical Informatics, 2022

2020
Supporting the use of standardized nursing terminologies with automatic subject heading prediction: a comparison of sentence-level text classification methods.
J. Am. Medical Informatics Assoc., 2020

Assisting nurses in care documentation: from automated sentence classification to coherent document structures with subject headings.
J. Biomed. Semant., 2020

2019
Leveraging Text Repetitions and Denoising Autoencoders in OCR Post-correction.
CoRR, 2019

Biomedical Named Entity Recognition with Multilingual BERT.
Proceedings of The 5th Workshop on BioNLP Open Shared Tasks, 2019

2018
Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task.
J. Am. Medical Informatics Assoc., 2018

Wide-scope biomedical named entity recognition and normalization with CRFs, fuzzy matching and character level modeling.
Database J. Biol. Databases Curation, 2018

Evaluation of a Prototype System that Automatically Assigns Subject Headings to Nursing Narratives Using Recurrent Neural Network.
Proceedings of the Ninth International Workshop on Health Text Mining and Information Analysis, 2018

2017
Detecting mentions of pain and acute confusion in Finnish clinical text.
Proceedings of the BioNLP 2017, Vancouver, Canada, August 4, 2017, 2017

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

Ensemble of Convolutional Neural Networks for Medicine Intake Recognition in Twitter.
Proceedings of the 2nd Social Media Mining for Health Research and Applications Workshop co-located with the American Medical Informatics Association Annual Symposium (AMIA 2017), 2017

2016
Filtering large-scale event collections using a combination of supervised and unsupervised learning for event trigger classification.
J. Biomed. Semant., 2016

Syntactic analyses and named entity recognition for PubMed and PubMed Central - up-to-the-minute.
Proceedings of the 15th Workshop on Biomedical Natural Language Processing, 2016

2015
Application of the EVEX resource to event extraction and network construction: Shared Task entry and result analysis.
BMC Bioinform., December, 2015

UTU: Adapting Biomedical Event Extraction System to Disorder Attribute Detection.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Sharing annotations better: RESTful Open Annotation.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
UTU: Disease Mention Recognition and Normalization with CRFs and Vector Space Representations.
Proceedings of the 8th International Workshop on Semantic Evaluation, 2014

2013
EVEX in ST'13: Application of a large-scale text mining resource to event extraction and network construction.
Proceedings of the BioNLP Shared Task 2013 Workshop, Sofia, 2013

2012
Exploring Biomolecular Literature with EVEX: Connecting Genes through Events, Homology, and Indirect Associations.
Adv. Bioinformatics, 2012


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