自动从科学文献中提取元数据和参考文献

Dominika Tkaczyk, P. Szostek, Piotr Jan Dendek, Mateusz Fedoryszak, Lukasz Bolikowski
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引用次数: 39

摘要

CERMINE是一个全面的开源系统,用于从自然数字形式的科学文章中提取元数据和解析书目参考。该系统基于模块化工作流程,其体系结构允许单步培训和评估,能够轻松地修改和替换单个组件,并简化进一步的体系结构扩展。大多数步骤的实现基于监督和无监督机器学习技术,这简化了调整系统以适应新文档布局的过程。本文描述了整个工作流架构,提供了个别实现的细节,并报告了评估方法和结果。CERMINE服务可在http://cermine.ceon.pl上获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CERMINE -- Automatic Extraction of Metadata and References from Scientific Literature
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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