  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.
