Contextual Analysis of Mathematical Expressions for Advanced Mathematical Search
Contextual Analysis of Mathematical Expressions for Advanced Mathematical Search
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DOI：
10.17562/pb-43-11
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发表时间：
2011-06
期刊：
影响因子：
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通讯作者：
Keisuke Yokoi;Minh-Quoc Nghiem;Yuichiroh Matsubayashi;Akiko Aizawa
中科院分区：
文献类型：
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作者：
Keisuke Yokoi;Minh-Quoc Nghiem;Yuichiroh Matsubayashi;Akiko Aizawa
我们找到了一种使用数学搜索来为在计算机上阅读论文提供更好的导航的方法。由于数学表达式的表面信息是模糊的，因此不仅需要考虑数学表达式，还需要考虑它们周围的文本。我们介绍如何提取自然语言描述，例如引用具有各种实验结果的数学表达式的变量名称或函数定义。我们首先定义一个提取任务，并手动构建 100 篇日本科学论文的参考数据集。然后，我们建议使用两种方法：模式匹配和基于机器学习的方法来执行提取任务。通过使用参考集的实验证明了所提出方法的有效性。
We found a way to use mathematical search to provide better navigation for reading papers on computers. Since the superficial information of mathematical expressions is ambiguous, considering not only mathematical expressions but also the texts around them is necessary. We present how to extract a natural language description, such as variable names or function definitions that refer to mathematical expressions with various experimental results. We first define an extraction task and constructed a reference dataset of 100 Japanese scientific papers by hand. We then propose the use of two methods, pattern matching and machine learning based ones for the extraction task. The effectiveness of the proposed methods is shown through experiments by using the reference set.