Research and Implementation of Intelligent Question Answering System in a Restricted Domain

Yinli Wang, Guanglai Gao
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引用次数: 3

Abstract

In the age of Internet, with the online information explosive growth, people want to find information we need in the cyberworld fleetly and exactly. The information retrieval method based on the keyword or the simple logic-combination of the keywords has been unable to meet the people's need of information getting to a certain extent. Gradually intelligent question answering system has grown to satisfy the people's need. This paper revolves around design and implementation of intelligent question answering system in a restricted domain, does a series of research aiming at the construction of domain knowledge, questions' comprehension and analysis, FAQ question matching, and so on. The FAQ question match is implemented by sentence similarity computation, and this model can answer frequently-asked question fast and concisely. Besides the system constructs theme document library taking advantage of web pages which Web crawler fetches. For the question which can not be answered by FAQ, the system will find answers from the theme document library. That is supplement and perfection of question answering system.
受限域智能问答系统的研究与实现
在互联网时代,随着网络信息的爆炸式增长,人们希望在网络世界中快速准确地找到我们需要的信息。基于关键词或简单的关键词逻辑组合的信息检索方法在一定程度上已经不能满足人们对信息获取的需求。智能化问答系统逐渐发展壮大,满足了人们的需求。本文围绕受限领域智能问答系统的设计与实现,针对领域知识的构建、问题的理解与分析、FAQ问题的匹配等方面进行了一系列的研究。通过句子相似度计算实现常见问题匹配,该模型能够快速、简洁地回答常见问题。此外,系统还利用网络爬虫获取的网页构建主题文档库。对于无法通过FAQ找到答案的问题,系统会从主题文档库中寻找答案。这是对问答系统的补充和完善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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