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Variant Search and Syntactic Tree Similarity Based Approach to Retrieve Matching Questions for SMS queries

机译:基于变体的搜索和语法树相似度检索SMS查询的匹配问题

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Community based Question Answering archives have emerged as a very useful resource for instant access to comprehensive information in response to user queries. However, its access remains restricted to internet users. Access to this resource through Short Message Service (SMS) requires that a high precision automatic similar question matching system be built in order to decrease the search time by decreasing the number of SMS exchanges required. This paper proposes a solution that handles inherent noise in SMS queries through variant search, modeling the problem as one of combinatorial search. Following this, it uses syntactic tree matching to improve the ranking scheme. We present our analysis of the system and conduct experiments to test its feasibility. Experiments show that our approach outperforms the existing approaches significantly.
机译:基于社区的问题应答档案被出现为即时访问全面信息的非常有用的资源,以响应用户查询。但是,它的访问仍然仅限于互联网用户。通过短消息服务访问此资源(SMS)要求构建高精度自动类似的问题匹配系统,以便通过减少所需的SMS交换的数量来降低搜索时间。本文提出了一种通过变体搜索处理SMS查询中的固有噪声的解决方案,将问题建模为组合搜索之一。在此之后,它使用句法树匹配来提高排名方案。我们展示了对系统的分析,并进行实验以测试其可行性。实验表明,我们的方法显着优于现有的方法。

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