论文标题
注释库：注释工具的可搜索目录
Annotationsaurus: A Searchable Directory of Annotation Tools
论文作者
论文摘要
在构建基准语料库以培训和评估机器学习算法时，文本文档的手动注释是必要的任务。我们创建了一个注释工具的综合目录，该目录目前包括93个工具。我们分析了一组31个功能的工具，并实现了简单的脚本和一个基于所选标准过滤工具的Web应用程序。我们使用目录提出了两种用例，并提出了维护的想法。目录，脚本的源代码以及链接到Web应用程序的链接可在以下网址提供：
Manual annotation of textual documents is a necessary task when constructing benchmark corpora for training and evaluating machine learning algorithms. We created a comprehensive directory of annotation tools that currently includes 93 tools. We analyzed the tools over a set of 31 features and implemented simple scripts and a Web application that filters the tools based on chosen criteria. We present two use cases using the directory and propose ideas for its maintenance. The directory, source codes for scripts, and link to the Web application are available at: https://github.com/mariananeves/annotation-tools
