Japanese probabilistic information retrieval using location and category information

机译：使用位置和类别信息检索日语概率信息

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Robertson's 2-poisson information retrieve model does not use location and category information. We constructed a framework using location and category information in a 2-poisson model. We submitted two systems based on this framework to the IREX contest, Japanese language information retrieval contest held in Japan in 1999. For precision in the A-judgement measure they scored 0.4926 and 0.4827, the highest values among the 15 teams and 22 systems that participated in the IREX contest. We describe our systems and the comparative experiments done when various parameters were changed. These experiments confirmed the effectiveness of using location and category information.

机译：Robertson的2-poisson信息检索模型不使用位置和类别信息。我们在2泊松模型中使用位置和类别信息构建了一个框架。在1999年在日本举行的IREX竞赛（日本信息检索竞赛）的基础上，我们提交了基于此框架的两个系统。为达到A判断指标的精确度，他们分别获得了0.4926和0.4827的评分，这是15个团队和22个参与该系统的系统中最高的在IREX竞赛中。我们描述了我们的系统以及在更改各种参数时所做的对比实验。这些实验证实了使用位置和类别信息的有效性。

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来源
《Proceedings of the Fifth international workshop on on Information retrieval with Asian languages》|2000年|P.81-88|共8页
会议地点 Hong Kong(CN)
作者
Masaki Murata; Qing Ma; Kiyotaka Uchimoto; Hiromi Ozaku; Masao Utiyama; Hitoshi Isahara;
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作者单位

Intelligent Processing Section, Kansai Advanced Research Center, Communications Research Laboratory, Ministry of Posts and Telecommunication, 588-2, Iwaoka, Nishi-ku, Kobe, 651-2492, Japan;

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会议组织
原文格式 PDF
正文语种 eng
中图分类计算技术、计算机技术;
关键词
location information;

机译：地点信息;

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7. Japanese Probabilistic Information Retrieval Using Location and Category Information [O] . Murata, Masaki, Ma, Qing, Uchimoto, Kiyotaka, 2000

机译：利用位置和类别进行日语概率信息检索信息

Japanese probabilistic information retrieval using location and category information

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