The Combination of Context Information to Enhance Simple Question Answering

With the rapid development of knowledge base, question answering based on knowledge base has become a hot research issue. In this paper, we focus on answering single-relation factoid questions based on knowledge base. We build a question answering system and study the effect of context information on fact selection, such as entity's notable type, out-degree. Experimental results show that context information can improve the result of simple question answering.

I. Introduction

Question answering (QA) is a classic natural language processing task, which aims at building systems that automatically answer questions formulated in natural language[1].