Abstract
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.
[Best Software Award at 57th Convocation IITK]
Hrishikesh Terdalkar
Assistant Professor
My research lies at the intersection of Computational Linguistics, Natural Language Processing, and Knowledge Graphs with a particular emphasis on low-resource languages such as Sanskrit and other Indian languages. My recent work has focused on building datasets, models, benchmarks, and evaluation frameworks grounded in linguistic structure. My interests also include Artificial Intelligence, Information Retrieval, Human-Computer Interaction, and Data Mining.