一句话：提出 Sangrahaka，一个用于从文本语料标注实体关系、构建知识图谱并支持模板化自然语言查询的 Web 工具。
本文介绍了 Sangrahaka，一个基于 Web 的工具，用于从文本语料中标注实体和关系以构建知识图谱，并支持使用模板化自然语言问题进行后续查询。该应用与语言和语料库无关，但可针对特定语言或语料库的需求进行调整。除提供友好的用户界面外，它还具备快速、支持定制以及在客户端和服务端容错的特点。在客观评价指标上，它优于其他标注工具。该框架已成功用于两个标注任务，代码可公开获取。
We present a web-based tool Sangrahaka for annotating entities and relationships from text corpora towards construction of a knowledge graph and subsequent querying using templatized natural language questions. The application is language and corpus agnostic, but can be tuned for specific needs of a language or a corpus. The application is freely available for download and installation. Besides having a user-friendly interface, it is fast, supports customization, and is fault tolerant on both client and server side. It outperforms other annotation tools in an objective evaluation metric. The framework has been successfully used in two annotation tasks. The code is available from https://github.com/hrishikeshrt/sangrahaka.