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ENSM-SE and UJM at INEX 2010:Scoring with Proximity and Tag Weights

机译:ENSM-SE和UJM在INEX 2010中:与邻近和标签重量进行评分

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This paper presents our participation in the Relevant in Context task (ad-hoc track) during the 2010 INEX competition, and a posterior analysis. Two models presented in previous editions of INEX by the authors were merged for our 2010 participation. The first one is based on the proximity of the query terms in the documents [1] and the sec-ond one is based on learnt tag weights [2]. The results demonstrate the improvement of focused information retrieval, thanks to the integration of the tag weights in the approach based on proximity.
机译:本文在2010年Inex竞争期间,我们参与了在2010年Inex竞争期间的上下文任务(ad-hoc轨道)的参与,以及后部分析。在提交人的前一版内部介绍的两种模型被合并为2010年的参与。第一个基于文档[1]中查询术语的附近,并且SEC-OND基于学习标签重量[2]。由于基于接近度的方法的整合,因此结果证明了重点信息检索的改进。

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