2014 · 35 citations · 12 references
ComputingComputer ScienceData ScienceInformation RetrievalNatural Language ProcessingText AnalyticsAnnotationDocument ManagementInformation ExtractionKnowledge ExtractionLiterature MiningText MiningAutomated Data ExtractionBibliographic MetadataCitation-based RetrievalInformation Extraction From TextScientific Information ExtractionScientific Literature MiningUnsupervised Neural LearningWorkflow Architecture
CERMINE is a comprehensive open source system for extracting metadata and parsed bibliographic references from scientific articles in born-digital form. The system is based on a modular workflow, whose architecture allows for single step training and evaluation, enables effortless modifications and replacements of individual components and simplifies further architecture expanding. The implementations of most steps are based on supervised and unsupervised machine-learning techniques, which simplifies the process of adjusting the system to new document layouts. The paper describes the overall workflow architecture, provides details about individual implementations and reports evaluation methodology and results. CERMINE service is available at http://cermine.ceon.pl.
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Chih-Chung Chang, Chih‐Jen Lin · ACM Transactions on Intelligent Systems and Technology · 2011 · 41.3K citations
C. Lee Giles, Kurt Bollacker, Steve Lawrence · 1998 · 1K citations
Alexandru Constantin, Steve Pettifer · 2013 · 91 citations · Full text