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

TL;DR

This paper provides an overview of recent neural network-based question answering systems over knowledge graphs, highlighting challenges, approaches, advancements, and emerging trends to guide newcomers in the field.

Contribution

It offers a comprehensive overview of neural network methods for QA over knowledge graphs, emphasizing recent progress and future directions.

Findings

Summarizes key neural network approaches for QA

Highlights recent advancements and trends

Provides guidance for newcomers in the field

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.