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智能问答技术是自然语言处理领域中一个非常热门的研究方向,它综合运用了各种自然语言处理技术。本文主要研究智能问答系统的关键技术。首先,详细地介绍了自动问答系统的概念原理与主要组成部分。其次,对该系统的中文分词模块及其相关技术进行了比较深入的研究,选择最大匹配、逆向最大匹配和设立自然切分点相结合的算法;在歧义字段处理方面,提出了基于句子整体考虑的计算句子词频和的方法,能够在处理特定歧义问题方面有很好的改进和提高。再次,对特定领域的问题进行分类,便于系统根据问题类别进行答案匹配。最后,利用赋权值方法,完成答案的提取,以句子作为答案匹配的基本单位。基于上述理论与算法,实现了一个地理领域的智能问答系统。
Intelligent Q & A is a very popular research field in the field of natural language processing, which uses a variety of natural language processing techniques. This article mainly studies the key technology of intelligent question answering system. First of all, the concept and the main components of the automatic question answering system are introduced in detail. Secondly, the Chinese word segmentation module of the system and its related technologies are studied in depth. The algorithm of maximum match, reverse maximum match and natural slicing point are selected. In terms of ambiguous field processing, The method of calculating the word frequency of sentences can be well improved and improved in dealing with specific ambiguity problems. Again, classify problems in specific areas so that the system can match answers based on the type of problem. Finally, the method of weighting is used to complete the extraction of the answers, and the sentence is taken as the basic unit for matching the answers. Based on the above theories and algorithms, an intelligent question answering system is implemented in the geographic area.