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ORCIDKai Hakala
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2020 – today
- 2022
[j9]Leena Uronen
, Sanna Salanterä, Kai Hakala, Jaakko Hartiala, Hans Moen:
Combining supervised and unsupervised named entity recognition to detect psychosocial risk factors in occupational health checks. Int. J. Medical Informatics 160: 104695 (2022)- [j8]Kai Hakala, Suwisa Kaewphan, Jari Björne, Farrokh Mehryary, Hans Moen, Martti Tolvanen, Tapio Salakoski, Filip Ginter:
Neural Network and Random Forest Models in Protein Function Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1772-1781 (2022) - 2020
- [j7]Hans Moen, Kai Hakala, Laura-Maria Peltonen, Hanna-Maria Matinolli, Henry Suhonen, Kirsi Terho, Riitta Danielsson-Ojala, Maija Valta, Filip Ginter, Tapio Salakoski, Sanna Salanterä:
Assisting nurses in care documentation: from automated sentence classification to coherent document structures with subject headings. J. Biomed. Semant. 11(1): 10 (2020) - [j6]Hans Moen, Kai Hakala, Laura-Maria Peltonen, Henry Suhonen, Filip Ginter, Tapio Salakoski, Sanna Salanterä:
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. 27(1): 81-88 (2020)
2010 – 2019
- 2019
- [c10]Kai Hakala, Sampo Pyysalo:
Biomedical Named Entity Recognition with Multilingual BERT. BioNLP-OST@EMNLP-IJNCLP 2019: 56-61 - [i1]Kai Hakala, Aleksi Vesanto, Niko Miekka, Tapio Salakoski, Filip Ginter:
Leveraging Text Repetitions and Denoising Autoencoders in OCR Post-correction. CoRR abs/1906.10907 (2019) - 2018
- [j5]Suwisa Kaewphan, Kai Hakala, Niko Miekka, Tapio Salakoski, Filip Ginter:
Wide-scope biomedical named entity recognition and normalization with CRFs, fuzzy matching and character level modeling. Database J. Biol. Databases Curation 2018: bay096 (2018) - [j4]Abeed Sarker, Maksim Belousov, Jasper Friedrichs, Kai Hakala, Svetlana Kiritchenko, Farrokh Mehryary, Sifei Han, Tung Tran, Anthony Rios, Ramakanth Kavuluru, Berry de Bruijn, Filip Ginter, Debanjan Mahata, Saif M. Mohammad, Goran Nenadic, Graciela Gonzalez-Hernandez:
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. 25(10): 1274-1283 (2018) - [c9]Hans Moen, Kai Hakala, Laura-Maria Peltonen, Henry Suhonen, Petri Loukasmäki, Tapio Salakoski, Filip Ginter, Sanna Salanterä:
Evaluation of a Prototype System that Automatically Assigns Subject Headings to Nursing Narratives Using Recurrent Neural Network. Louhi@EMNLP 2018: 94-100 - 2017
- [c8]Kai Hakala, Farrokh Mehryary, Hans Moen, Suwisa Kaewphan, Tapio Salakoski, Filip Ginter:
Ensemble of Convolutional Neural Networks for Medicine Intake Recognition in Twitter. SMM4H@AMIA 2017: 59-63 - [c7]Farrokh Mehryary, Kai Hakala, Suwisa Kaewphan, Jari Björne, Tapio Salakoski, Filip Ginter:
End-to-End System for Bacteria Habitat Extraction. BioNLP 2017: 80-90 - [c6]Hans Moen, Kai Hakala, Farrokh Mehryary, Laura-Maria Peltonen, Tapio Salakoski, Filip Ginter, Sanna Salanterä:
Detecting mentions of pain and acute confusion in Finnish clinical text. BioNLP 2017: 365-372 - 2016
- [j3]Farrokh Mehryary, Suwisa Kaewphan, Kai Hakala, Filip Ginter:
Filtering large-scale event collections using a combination of supervised and unsupervised learning for event trigger classification. J. Biomed. Semant. 7: 27 (2016) - [c5]Kai Hakala, Suwisa Kaewphan, Tapio Salakoski, Filip Ginter:
Syntactic analyses and named entity recognition for PubMed and PubMed Central - up-to-the-minute. BioNLP@ACL 2016: 102-107 - 2015
- [j2]Kai Hakala, Sofie Van Landeghem, Tapio Salakoski, Yves Van de Peer, Filip Ginter:
Application of the EVEX resource to event extraction and network construction: Shared Task entry and result analysis. BMC Bioinform. 16(S16): S3 (2015) - [c4]Sampo Pyysalo, Jorge Campos, Juan Miguel Cejuela, Filip Ginter, Kai Hakala, Chen Li, Pontus Stenetorp, Lars Juhl Jensen:
Sharing annotations better: RESTful Open Annotation. ACL (System Demonstrations) 2015: 91-96 - [c3]Kai Hakala:
UTU: Adapting Biomedical Event Extraction System to Disorder Attribute Detection. SemEval@NAACL-HLT 2015: 375-379 - 2014
- [c2]Suwisa Kaewphan, Kai Hakala, Filip Ginter:
UTU: Disease Mention Recognition and Normalization with CRFs and Vector Space Representations. SemEval@COLING 2014: 807-811 - 2013
- [c1]Kai Hakala, Sofie Van Landeghem, Tapio Salakoski, Yves Van de Peer, Filip Ginter:
EVEX in ST'13: Application of a large-scale text mining resource to event extraction and network construction. BioNLP@ACL (Shared Task) 2013: 26-34 - 2012
- [j1]Sofie Van Landeghem, Kai Hakala, Samuel Rönnqvist, Tapio Salakoski, Yves Van de Peer, Filip Ginter:
Exploring Biomolecular Literature with EVEX: Connecting Genes through Events, Homology, and Indirect Associations. Adv. Bioinformatics 2012: 582765:1-582765:12 (2012)
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