Textbook to triples: Creating knowledge graph in the form of triples from AI TextBook

• URL: http://arxiv.org/abs/2111.10692v1
• Date: Sat, 20 Nov 2021 22:28:23 GMT
• Title: Textbook to triples: Creating knowledge graph in the form of triples from AI TextBook
• Authors: Aman Kumar, Swathi Dinakaran
• Abstract summary: This paper develops a system that could convert the text from a given textbook into triples that can be used to visualize as a knowledge graph. The initial assessment and evaluation gave promising results with an F1 score of 82%.
• Score: 0.8832969171530054
• License: http://creativecommons.org/publicdomain/zero/1.0/
• Abstract: A knowledge graph is an essential and trending technology with great applications in entity recognition, search, or question answering. There are a plethora of methods in natural language processing for performing the task of Named entity recognition; however, there are very few methods that could provide triples for a domain-specific text. In this paper, an effort has been made towards developing a system that could convert the text from a given textbook into triples that can be used to visualize as a knowledge graph and use for further applications. The initial assessment and evaluation gave promising results with an F1 score of 82%.

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