Evaluating Large-scale Text Mining Applications Beyond the Traditional Numeric Performance Measures. - Sofie Van Landeghem; Suwisa Kaewphan; Filip Ginter; Yves Van de Peer (BioNLP@ACL, 2013)

UTurku: Drug Named Entity Recognition and Drug-Drug Interaction Extraction Using SVM Classification and Domain Knowledge. - Jari Björne; Suwisa Kaewphan; Tapio Salakoski (SemEval@NAACL-HLT, 2013)

UTU: Disease Mention Recognition and Normalization with CRFs and Vector Space Representations. - Suwisa Kaewphan; Kai Hakala; Filip Ginter (SemEval@COLING, 2014)

Syntactic analyses and named entity recognition for PubMed and PubMed Central - up-to-the-minute. - Kai Hakala; Suwisa Kaewphan; Tapio Salakoski; Filip Ginter (BioNLP@ACL, 2016)

Cell line name recognition in support of the identification of synthetic lethality in cancer from text. - Suwisa Kaewphan; Sofie Van Landeghem; Tomoko Ohta; Yves Van de Peer; Filip Ginter; Sampo Pyysalo (Bioinform., 2016)

Filtering large-scale event collections using a combination of supervised and unsupervised learning for event trigger classification. - Farrokh Mehryary; Suwisa Kaewphan; Kai Hakala; Filip Ginter (J. Biomed. Semant., 2016)

Ensemble of Convolutional Neural Networks for Medicine Intake Recognition in Twitter. - Kai Hakala; Farrokh Mehryary; Hans Moen; Suwisa Kaewphan; Tapio Salakoski; Filip Ginter (SMM4H@AMIA, 2017)

End-to-End System for Bacteria Habitat Extraction. - Farrokh Mehryary; Kai Hakala; Suwisa Kaewphan; Jari Björne; Tapio Salakoski; Filip Ginter (BioNLP, 2017)

Wide-scope biomedical named entity recognition and normalization with CRFs, fuzzy matching and character level modeling. - Suwisa Kaewphan; Kai Hakala; Niko Miekka; Tapio Salakoski; Filip Ginter (Database J. Biol. Databases Curation, 2018)

Neural Network and Random Forest Models in Protein Function Prediction. - Kai Hakala; Suwisa Kaewphan; Jari Björne; Farrokh Mehryary; Hans Moen; Martti Tolvanen; Tapio Salakoski; Filip Ginter (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)