Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs

Question answering has emerged as an intuitive way of querying structured data sources, and has attracted significant advancements over the years. In this article, we provide an overview over these recent advancements, focusing on neural network based question answering systems over knowledge graphs...

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Bibliographic Details
Published inarXiv.org
Main Authors Chakraborty, Nilesh, Lukovnikov, Denis, Maheshwari, Gaurav, Trivedi, Priyansh, Lehmann, Jens, Fischer, Asja
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 22.07.2019
Subjects
Graphs
Neural networks
Questions
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Summary:Question answering has emerged as an intuitive way of querying structured data sources, and has attracted significant advancements over the years. In this article, we provide an overview over these recent advancements, focusing on neural network based question answering systems over knowledge graphs. We introduce readers to the challenges in the tasks, current paradigms of approaches, discuss notable advancements, and outline the emerging trends in the field. Through this article, we aim to provide newcomers to the field with a suitable entry point, and ease their process of making informed decisions while creating their own QA system.
ISSN:2331-8422