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    BMCBI
    2005
    153views more  BMCBI 2005»
    Learning Statistical Models for Annotating Proteins with Function Information using Biomedical Text
    13 years 7 months ago
    Learning Statistical Models for Annotating Proteins with Function Information using Biomedical Text
    Download  pages.cs.wisc.edu
    Background: The BioCreative text mining evaluation investigated the application of text mining methods to the task of automatically extracting information from text in biomedical ...
    Soumya Ray, Mark Craven
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    ICML
    2007
    IEEE
    126views Machine Learning» more  ICML 2007»
    Fast and effective kernels for relational learning from texts
    14 years 8 months ago
    Fast and effective kernels for relational learning from texts
    Download  www.machinelearning.org
    In this paper, we define a family of syntactic kernels for automatic relational learning from pairs of natural language sentences. We provide an efficient computation of such mode...
    Alessandro Moschitti, Fabio Massimo Zanzotto
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    GFKL
    2005
    Springer
    93views Data Mining» more  GFKL 2005»
    A Hybrid Machine Learning Approach for Information Extraction from Free Text
    14 years 1 months ago
    A Hybrid Machine Learning Approach for Information Extraction from Free Text
    Download  www.dfki.de
    Abstract. We present a hybrid machine learning approach for information extraction from unstructured documents by integrating a learned classifier based on the Maximum Entropy Mod...
    Günter Neumann
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    LREC
    2008
    155views Education» more  LREC 2008»
    L-ISA: Learning Domain Specific Isa-Relations from the Web
    13 years 9 months ago
    L-ISA: Learning Domain Specific Isa-Relations from the Web
    Download  www.lrec-conf.org
    Automated extraction of ontological knowledge from text corpora is a relevant task in Natural Language Processing. In this paper, we focus on the problem of finding hypernyms for ...
    Alessandra Potrich, Emanuele Pianta
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    PRIB
    2009
    Springer
    187views Bioinformatics» more  PRIB 2009»
    Semi-supervised Prediction of Protein Interaction Sentences Exploiting Semantically Encoded Metrics
    14 years 5 days ago
    Semi-supervised Prediction of Protein Interaction Sentences Exploiting Semantically Encoded Metrics
    Download  www.dcs.gla.ac.uk
    Protein-protein interaction (PPI) identification is an integral component of many biomedical research and database curation tools. Automation of this task through classification ...
    Tamara Polajnar, Mark A. Girolami
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