The MCAT Math Retrieval System for NTCIR-11 Math Track
The MCAT Math Retrieval System for NTCIR-11 Math Track
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发表时间：
2014
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通讯作者：
Giovanni Yoko Kristianto;Goran Topic;Florence Ho;Akiko Aizawa
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作者：
Giovanni Yoko Kristianto;Goran Topic;Florence Ho;Akiko Aizawa
本文描述了我们的MCAT搜索系统参与了NTCIR-11 Math-2任务。这项任务的目的是使用包含公式和关键字的混合查询来搜索数学表达式。我们引入了一种编码技术来捕获数学表达式的结构和内容。每个表达都伴随着两种类型的自动提取的文本信息，即上下文窗口中的单词和描述。此外，我们还考察了利用数学表达式依赖图和检索后重排方法在排序方面的改进。结果表明，描述图和依存关系图的结合使用比使用上下文窗口具有更好的排序性能。此外，同时使用描述和上下文窗口会产生更好的结果。评价结果也表明，我们的重新排序方法对提高排序性能是有效的。
This paper describes the participation of our MCAT search system in the NTCIR-11 Math-2 Task. The purpose of this task is to search mathematical expressions using hybrid queries containing both formulae and keywords. We introduce an encoding technique to capture the structure and content of the mathematical expressions. Each expression is accompanied by two types of automatically extracted textual information, namely words in context window and descriptions. In addition, we examine the improvement in ranking obtained by utilizing dependency graph of mathematical expressions and post-retrieval reranking method. The results show that the use of description and dependency graph together delivers better ranking performances than the use of context window. Furthermore, using both the description and context window together delivers even better results. The evaluation results also indicate that our reranking method is eective for improving the ranking performances.