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A Chinese question answering system based on web search

机译:基于网络搜索的中文问答系统

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With the rapid development of search engine technology, the massive information on the internet becomes increasingly easy to search and utilize. However, Reading a large number of web pages of search engine results is also a hard work for users. Therefore how to conveniently and directly get the answers is a recent research focus. In this paper, we put forward a Chinese question answering system which uses the real-time network information retrieved by search engines. By inputting a natural language question, users can get an accurate answer. There are three main steps to extract the answers in our system. First is the question analysis, extract keywords and type of the question. Then the second step is to retrieve relevant pages through web search engines. The last and most important step is answer extraction, evaluate all extracted candidate answers, and the final answer will be the one with highest score. In addition to the system implementation, we also evaluated the performance of our system with an artificial building question-answer dataset. And the results obviously proved the feasibility of our system.
机译:随着搜索引擎技术的飞速发展,互联网上的海量信息变得越来越易于​​搜索和利用。但是,对于用户而言,阅读大量的搜索引擎结果网页也是一项艰巨的工作。因此,如何方便,直接地得到答案是当前的研究重点。在本文中,我们提出了一个中文问答系统,该系统利用搜索引擎检索到的实时网络信息。通过输入自然语言问题,用户可以获得准确的答案。在我们的系统中,可以通过三个主要步骤来提取答案。首先是问题分析,提取关键词和问题类型。然后,第二步是通过网络搜索引擎检索相关页面。最后也是最重要的一步是答案提取,评估所有提取的候选答案,最终答案将是得分最高的答案。除了系统实现之外,我们还使用人工构建的问题-答案数据集评估了系统的性能。结果显然证明了我们系统的可行性。

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