文章基本信息

标题：Toolbar to Highlight Important Expressions in Scientific Articles on Atomic and Molecular Physics
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作者：Masaki Murata ; Akira Sasaki ; Toshiyuki Kanamaru 等
期刊名称：人工知能学会論文誌
印刷版ISSN：1346-0714
电子版ISSN：1346-8030
出版年度：2008
卷号：23
期号：6
页码：457-462
DOI：10.1527/tjsai.23.457
出版社：The Japanese Society for Artificial Intelligence
摘要：We introduce software that recognizes, extracts, and displays expressions concerning atomic and molecular data from academic papers in the electronic form. This software includes a toolbar application that can be installed in Internet Explorer (IE). This toolbar can be used by scientific readers and researchers to highlight, color-code, and collect important expressions more easily. Those expressions include atomic and molecular symbols (e.g., Xe⁺ and H₂O) and electron configurations(e.g., 4d⁹5s²5p) from the atomic and molecular data of a large number of academic papers. We confirmed by experiments that the software could find important expressions with high precision (0.8-1.0). This software is also useful for compiling databases of atomic and molecular data, which is important for plasma simulations, because the simulations critically depend on atomic and molecular data, including the energy levels and collisional and radiative rate coefficients.
关键词：toolbar ; highlighting ; important expressions ; atomic and molecular data