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

Autor:	Chakraborty, Nilesh, Lukovnikov, Denis, Maheshwari, Gaurav, Trivedi, Priyansh, Lehmann, Jens, Fischer, Asja
Rok vydání:	2019
Předmět:	Computer Science - Computation and Language Computer Science - Artificial Intelligence Computer Science - Machine Learning
Druh dokumentu:	Working Paper
Popis:	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. Comment: Preprint, under review. The first four authors contributed equally to this paper, and should be regarded as co-first authors
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1907.09361 Zobrazit plný text záznamu View this record from Arxiv