首页> 外文会议>4th workshop on analytics for noisy unstructured text data 2010 >Variant Search and Syntactic Tree Similarity Based Approach to Retrieve Matching Questions for SMS queries
【24h】

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

机译:基于变式搜索和句法树相似度的短信查询匹配问题检索方法

获取原文
获取原文并翻译 | 示例

摘要

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:基于社区的问答档案已经成为一种非常有用的资源,可以根据用户查询立即访问全面的信息。但是,其访问仍然仅限于Internet用户。通过短消息服务(SMS)访问此资源要求建立一个高精度的自动相似问题匹配系统,以通过减少所需的SMS交换次数来减少搜索时间。本文提出了一种解决方案,可通过变体搜索处理SMS查询中的固有噪声,并将问题建模为组合搜索之一。此后,它使用语法树匹配来改善排名方案。我们介绍我们对该系统的分析并进行实验以测试其可行性。实验表明,我们的方法明显优于现有方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号