Survey on information retrieval system based on question answering system
基于自动问答系统的信息检索技术研究进展

Question Answering (QA) aims to find actual answers to users' questions in natural language. It has attracted more and more attention from the researchers in information retrieval and natural language research field. A typical QA system adopts a pipeline structure that contains "question analysis", "passage retrieval" and "answer selection" modules. In this paper, the research literature and the famous international conferences in QA research area were surveyed. The functions and methods of hot topics were mainly presented such as question analysis, query expansion, passage retrieval and answer selection. Furthermore, some existing problems were proposed in these studies.