Matos Sérgio
DETI/IEETA, University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal.
J Cheminform. 2018 Dec 21;10(1):68. doi: 10.1186/s13321-018-0317-4.
The need to efficiently find and extract information from the continuously growing biomedical literature has led to the development of various annotation tools aimed at identifying mentions of entities and relations. Many of these tools have been integrated in user-friendly applications facilitating their use by non-expert text miners and database curators. In this paper we describe the latest version of Neji, a web-services ready text processing and annotation framework. The modular and flexible architecture facilitates adaptation to different annotation requirements, while the built-in web services allow its integration in external tools and text mining pipelines. The evaluation of the web annotation server on the technical interoperability and performance of annotation servers track of BioCreative V.5 further illustrates the flexibility and applicability of this framework.
从不断增长的生物医学文献中高效查找和提取信息的需求，促使了各种旨在识别实体提及和关系的注释工具的开发。其中许多工具已集成到用户友好的应用程序中，便于非专业文本挖掘人员和数据库管理员使用。在本文中，我们描述了Neji的最新版本，这是一个适用于网络服务的文本处理和注释框架。模块化且灵活的架构便于适应不同的注释需求，而内置的网络服务允许其集成到外部工具和文本挖掘管道中。在生物创意V.5注释服务器技术互操作性和性能方面对网络注释服务器的评估，进一步说明了该框架的灵活性和适用性。
