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Kai Hakala
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2020 – today
- 2022
- [j9]Leena Uronen
, Sanna Salanterä
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
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
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
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
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
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
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
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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