mlsanityData to 14 Oct 2026

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

arXiv 1907.09361 ↗First posted 22 Jul 2019cs.CL cs.AI cs.LGcited by 15

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Abstract (arXiv)

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.

Key facts. Cited by 15 papers in the map (data through 14 Oct 2026). First posted on arXiv 22 Jul 2019.

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Citing papers per year: 2021: 8; 2022: 2; 2023: 4; 2024: 0; 2025: 0; 2026: 1.

15 papers.

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