Хайлтын үр дүнгүүд - Filip Ginter

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  1. 1
    University of Turku in the BioNLP'11 Shared Task

    University of Turku in the BioNLP'11 Shared Task -н Jari Björne, Filip Ginter, Tapio Salakoski

    Хэвлэсэн 2012
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    Artigo
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  2. 2
    Deep Learning with Minimal Training Data: TurkuNLP Entry in the BioNLP Shared Task 2016

    Deep Learning with Minimal Training Data: TurkuNLP Entry in the BioNLP Shared Task 2016 -н Farrokh Mehryary, Jari Björne, Sampo Pyysalo, Tapio Salakoski, Filip Ginter

    Хэвлэсэн 2016
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    Artigo
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  3. 3
    Complex event extraction at PubMed scale

    Complex event extraction at PubMed scale -н Jari Björne, Filip Ginter, Sampo Pyysalo, Jun’ichi Tsujii, Tapio Salakoski

    Хэвлэсэн 2010
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    Artigo
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  4. 4
    Care episode retrieval: distributional semantic models for information retrieval in the clinical domain

    Care episode retrieval: distributional semantic models for information retrieval in the clinical domain -н Hans Moen, Filip Ginter, Erwin Marsi, L. Peltonen, Tapio Salakoski, Sanna Salanterä

    Хэвлэсэн 2015
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    Artigo
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  5. 5
    A graph kernel for protein-protein interaction extraction

    A graph kernel for protein-protein interaction extraction -н Antti Airola, Sampo Pyysalo, Jari Björne, Tapio Pahikkala, Filip Ginter, Tapio Salakoski

    Хэвлэсэн 2008
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    Artigo
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  6. 6
    Extracting complex biological events with rich graph-based feature sets

    Extracting complex biological events with rich graph-based feature sets -н Jari Björne, Juho Heimonen, Filip Ginter, Antti Airola, Tapio Pahikkala, Tapio Salakoski

    Хэвлэсэн 2009
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    Artigo
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  7. 7
    Comparative analysis of five protein-protein interaction corpora

    Comparative analysis of five protein-protein interaction corpora -н Sampo Pyysalo, Antti Airola, Juho Heimonen, Jari Björne, Filip Ginter, Tapio Salakoski

    Хэвлэсэн 2008
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    Artigo
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  8. 8
    All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning

    All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning -н Antti Airola, Sampo Pyysalo, Jari Björne, Tapio Pahikkala, Filip Ginter, Tapio Salakoski

    Хэвлэсэн 2008
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    Artigo
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  9. 9
    BioInfer: a corpus for information extraction in the biomedical domain

    BioInfer: a corpus for information extraction in the biomedical domain -н Sampo Pyysalo, Filip Ginter, Juho Heimonen, Jari Björne, Jorma Boberg, Jouni Järvinen, Tapio Salakoski

    Хэвлэсэн 2007
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    Artigo
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  10. 10
    Exploring Biomolecular Literature with EVEX: Connecting Genes through Events, Homology, and Indirect Associations

    Exploring Biomolecular Literature with EVEX: Connecting Genes through Events, Homology, and Indirect Associations -н Sofie Van Landeghem, Kai Hakala, Samuel Rönnqvist, Tapio Salakoski, Yves Van de Peer, Filip Ginter

    Хэвлэсэн 2012
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    Artigo
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  11. 11
    Large-Scale Event Extraction from Literature with Multi-Level Gene Normalization

    Large-Scale Event Extraction from Literature with Multi-Level Gene Normalization -н Sofie Van Landeghem, Jari Björne, Chih-Hsuan Wei, Kai Hakala, Sampo Pyysalo, Sophia Ananiadou, Hung‐Yu Kao, Zhiyong Lu, Tapio Salakoski, Yves Van de Peer, Filip Ginter

    Хэвлэсэн 2013
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    Artigo
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  12. 12
    An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    An expanded evaluation of protein function prediction methods shows an improvement in accuracy -н Yuxiang Jiang, Tal Oron, Wyatt T. Clark, Asma Bankapur, Daniel D’Andrea, Rosalba Lepore, Christopher S. Funk, Indika Kahanda, Karin Verspoor, Asa Ben‐Hur, Da Chen Emily Koo, Duncan Penfold-Brown, Dennis Shasha, Noah Youngs, Richard Bonneau, Alexandra J. Lin, Sayed Mohammad Ebrahim Sahraeian, Pier Luigi Martelli, Giuseppe Profiti, Rita Casadio, Renzhi Cao, Zhaolong Zhong, Jianlin Cheng, Adrian Altenhoff, Nives Škunca, Christophe Dessimoz, Tunca Doğan, Kai Hakala, Suwisa Kaewphan, Farrokh Mehryary, Tapio Salakoski, Filip Ginter, Hai Fang, Ben Smithers, Matt E. Oates, Julian Gough, Petri Törönen, Patrik Koskinen, Liisa Holm, Ching-Tai Chen, Wen−Lian Hsu, Kevin Bryson, Domenico Cozzetto, Federico Minneci, David T. Jones, Samuel Chapman, Dukka Bkc, Ishita Khan, Daisuke Kihara, Dan Ofer, Nadav Rappoport, Amos Stern, Elena Cibrián–Uhalte, Paul Denny, Rebecca E. Foulger, Reija Hieta, Duncan Legge, Ruth C. Lovering, Michele Magrane, Anna N. Melidoni, Prudence Mutowo, Klemens Pichler, Aleksandra Shypitsyna, Biao Li, Pooya Zakeri, Sarah ElShal, Léon-Charles Tranchevent, Sayoni Das, Natalie L. Dawson, David Lee, Jonathan Lees, Ian Sillitoe, Prajwal Bhat, Tamás Nepusz, Alfonso E. Romero, Rajkumar Sasidharan, Haixuan Yang, Alberto Paccanaro, Jesse Gillis, Adriana E. Sedeño-Cortés, Paul Pavlidis, Shou Feng, Juan Miguel Cejuela, Tatyana Goldberg, Tobias Hamp, Lothar Richter, Asaf Salamov, Toni Gabaldón, Marina Marcet‐Houben, Fran Supek, Qingtian Gong, Wei Ning, Yuanpeng Zhou, Weidong Tian, Marco Falda, Paolo Fontana, Enrico Lavezzo, Stefano Toppo, Carlo Ferrari, Manuel Giollo

    Хэвлэсэн 2016
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    Artigo
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