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

July 22, 2019 ยท The Cartographer ยท ๐Ÿ› arXiv.org

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs"

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Authors Nilesh Chakraborty, Denis Lukovnikov, Gaurav Maheshwari, Priyansh Trivedi, Jens Lehmann, Asja Fischer arXiv ID 1907.09361 Category cs.CL: Computation & Language Cross-listed cs.AI, cs.LG Citations 56 Venue arXiv.org Last Checked 1 day ago
Abstract
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.
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