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Domain Specific Retrieval: Back to Basics

机译:域特定检索:返回基础知识

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In this paper describe Berkeley's approach to the Domain Specific (DS) track for CLEF 2006. This year we did not use the tools for thesaurus-based query expansion and de-compounding for German used in previous years. This year Berkeley submitted 12 runs, including one for each subtask of the DS track. These include 3 Monolingual runs for English, German, and Russian, 7 Bilingual runs (3 X2EN, 1 X2DE, and 3 X2RU), and 2 Multilingual runs. For many DS sub-tasks our runs were the best performing runs, but sadly they were also the only runs for a number of sub-tasks. In the sub-tasks where there were other entries, our relative performance was above the mean performance in 2 sub-tasks and just below the mean in another.
机译:本文描述了Berkeley 2006年统计域的域特定(DS)轨道的方法。今年我们没有使用基于词库的查询扩展和去年使用的德国德文的工具。今年伯克利提交了12次运行,包括DS轨道的每个子任务的运行。这些包括3个用于英语,德语和俄语的单机运行,7个双语运行(3 x2EN,1 x2DE和3 x2RU)和2个多语言运行。对于许多DS子任务,我们的运行是最好的运行,但可悲的是,他们也是许多子任务的唯一运行。在有其他条目的子任务中,我们的相对性能高于2个子任务中的平均性能,并且在另一个子任务中的平均性能之上。

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