Sangrahaka：一种用于标注和查询知识图谱的工具
Sangrahaka: A Tool for Annotating and Querying Knowledge Graphs
AI总结：
本文介绍Sangrahaka，一个基于网络的工具，用于从文本中标注实体和关系并构建知识图谱，支持模板化自然语言查询，且语言无关、可定制、容错性强。
摘要：
在这项工作中，我们介绍了一个基于网络的标注和查询工具Sangrahaka。它能够从文本语料库中标注实体和关系，并构建知识图谱（KG）。该知识图谱通过模板化的自然语言查询进行查询。该应用程序与语言和语料库无关，但可以针对特定语言或语料库的特殊需求进行调整。该框架的一个定制版本已用于两个标注任务。该应用程序可供下载和安装。除了拥有用户友好的界面外，它速度快、支持定制，并且在客户端和服务器端都具有容错性。代码可在https://github.com/hrishikeshrt/sangrahaka获取，带有演示的演示文稿可在https://youtu.be/nw9GFLVZMMo获取。
英文摘要：
In this work, we present a web-based annotation and querying tool Sangrahaka. It annotates entities and relationships from text corpora and constructs a knowledge graph (KG). The KG is queried using templatized natural language queries. The application is language and corpus agnostic, but can be tuned for special needs of a specific language or a corpus. A customized version of the framework has been used in two annotation tasks. The application is 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. The code is available at https://github.com/hrishikeshrt/sangrahaka and the presentation with a demo is available at https://youtu.be/nw9GFLVZMMo.
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。
