| Item type |
SIG Technical Reports(1) |
| 公開日 |
2017-03-03 |
| タイトル |
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|
タイトル |
A Structure-based Method for Mathematical Document Classification |
| タイトル |
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言語 |
en |
|
タイトル |
A Structure-based Method for Mathematical Document Classification |
| 言語 |
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言語 |
eng |
| キーワード |
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主題Scheme |
Other |
|
主題 |
検索関連技術 |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
|
資源タイプ |
technical report |
| 著者所属 |
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|
Tokyo Institute of Technology |
| 著者所属 |
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Tokyo Institute of Technology |
| 著者所属(英) |
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en |
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Tokyo Institute of Technology |
| 著者所属(英) |
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en |
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Tokyo Institute of Technology |
| 著者名 |
Tokinori, Suzuki
Atsushi, Fujii
|
| 著者名(英) |
Tokinori, Suzuki
Atsushi, Fujii
|
| 論文抄録 |
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内容記述タイプ |
Other |
|
内容記述 |
Mathematical document classification (MDC) is a task to classify mathematical documents consisting of text and mathematical expressions (ME) to mathematical categories, e.g. probability theory and set theory. This task is an important task for supporting user search on recent wide-spreaded digital libraries and archiving services. Although ME could bring an important information as being in a central part of communication especially in math fields, how to utilize ME for MDC is not matured. In this paper, we propose the classification method based on texts combined with structures of ME, which are expected to reflect mathematical concepts and rules specific to a category. We demonstrate classification results that our proposed method outperforms existing method with state-of-the-art ME modeling on F-measure. |
| 論文抄録(英) |
|
|
内容記述タイプ |
Other |
|
内容記述 |
Mathematical document classification (MDC) is a task to classify mathematical documents consisting of text and mathematical expressions (ME) to mathematical categories, e.g. probability theory and set theory. This task is an important task for supporting user search on recent wide-spreaded digital libraries and archiving services. Although ME could bring an important information as being in a central part of communication especially in math fields, how to utilize ME for MDC is not matured. In this paper, we propose the classification method based on texts combined with structures of ME, which are expected to reflect mathematical concepts and rules specific to a category. We demonstrate classification results that our proposed method outperforms existing method with state-of-the-art ME modeling on F-measure. |
| 書誌レコードID |
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収録物識別子タイプ |
NCID |
|
収録物識別子 |
AN10539261 |
| 書誌情報 |
研究報告ドキュメントコミュニケーション（DC）
巻 2017-DC-104,
号 11,
p. 1-8,
発行日 2017-03-03
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| ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
2188-8892 |
| Notice |
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SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
| 出版者 |
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言語 |
ja |
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出版者 |
情報処理学会 |
IPSJ-DC17104011.pdf (1.1 MB)
