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In this work, we present a web-based annotation and querying tool Sangrahaka.It annotates entities and relationships from text corpora and constructs aknowledge graph (KG). The KG is queried using templatized natural languagequeries. The application is language and corpus agnostic, but can be tuned forspecial needs of a specific language or a corpus. A customized version of theframework has been used in two annotation tasks. The application is availablefor download and installation. Besides having a user-friendly interface, it isfast, supports customization, and is fault tolerant on both client and serverside. The code is available at https://github.com/hrishikeshrt/sangrahaka andthe presentation with a demo is available at https://youtu.be/nw9GFLVZMMo.

Sangrahaka: A Tool for Annotating and Querying Knowledge Graphs