为国内流离失所监测开发注释资源
Developing Annotated Resources for Internal Displacement Monitoring
摘要：
本文详细介绍了一个新的注释框架和国内流离失所的注释资源的设计和开发，作为与国内流离失所监测中心合作的成果，旨在提高其监测平台IDETECT的准确性。该纲要包括对事件的多方面描述，包括原因、流离失所者的数量、地点和日期。提出了基于文档相关性和文档类型等高阶特征的信息抽取方法。我们还报告了机器学习应用于文档分类任务的案例研究。最后，我们讨论了标准化模式在数据集基准开发中的重要性及其对可靠的灾害监测基础设施开发的影响。
英文摘要：
This paper describes in details the design and development of a novel annotation framework and of annotated resources for Internal Displacement, as the outcome of a collaboration with the Internal Displacement Monitoring Centre, aimed at improving the accuracy of their monitoring platform IDETECT. The schema includes multi-faceted description of the events, including cause, quantity of people displaced, location and date. Higher-order facets aimed at improving the information extraction, such as document relevance and type, are proposed. We also report a case study of machine learning application to the document classification tasks. Finally, we discuss the importance of standardized schema in dataset benchmark development and its impact on the development of reliable disaster monitoring infrastructure.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
