Searching for authors named "Sampo Pyysalo" – sorted by Relevance.
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Accurate Conversion of Dependency Parses: Targeting the Stanford Scheme
- Ginter, 1 Sampo Pyysalo 2 and Tapio Salakoski 1,2 1 Department of Information Technology 2 Turku Centre
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Combining Hidden Markov Models and Latent Semantic Analysis for Topic Segmentation and Labeling: Method and Clinical Application
- : Method and Clinical Application Filip Ginter, 1 Hanna Suominen, 1,2 Sampo Pyysalo 2 and Tapio Salakoski 1
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How Complex are Complex Protein-protein Interactions?
- How Complex are Complex Protein-protein Interactions? Jari Björne, 1 Sampo Pyysalo, 2 Filip Ginter
- Cited by 1 (1 self) – Add To MetaCart
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Complex-to-pairwise mapping of biological relationships using a semantic network representation
- Juho Heimonen, 1 Sampo Pyysalo, 2 Filip Ginter 1 and Tapio Salakoski 1,2 1 Department of Information
- Cited by 2 (2 self) – Add To MetaCart
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On the unification of syntactic annotations under the Stanford dependency scheme: A case study on BioInfer and GENIA
- on BioInfer and GENIA Sampo Pyysalo, Filip Ginter, Katri Haverinen, Juho Heimonen, Tapio Salakoski
- Cited by 3 (1 self) – Add To MetaCart
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Evaluation; Parser comparison; Dependency syntax;
- parsers on biomedical corpus targeted at protein—protein interactions Sampo Pyysalo ∗ , Filip Ginter
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Analysis of link grammar on biomedical dependency corpus targeted at protein-protein interactions
- Sampo Pyysalo, Filip Ginter, Tapio Pahikkala, Jorma Boberg, Jouni Järvinen, Tapio Salakoski Turku Centre
- Cited by 3 (0 self) – Add To MetaCart
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A Graph Kernel for Protein-Protein Interaction Extraction
- A Graph Kernel for Protein-Protein Interaction Extraction Antti Airola, Sampo Pyysalo, Jari Björne
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with evaluation
- extraction with evaluation of cross-corpus learning Antti Airola*, Sampo Pyysalo, Jari Björne, Tapio
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Ontology-Based Feature Transformations:
- Ontology-Based Feature Transformations: A Data-Driven Approach Filip Ginter, Sampo Pyysalo, Jorma
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