Presentation | 2003/9/7 A MEDLINE document search system using section information Takahiro YAMASAKI, Masashi SHIMBO, Yuji MATSUMOTO, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We present an experimental text retrieval system to facilitate search in the MEDLINE database. A unique feature of the system is that users can search not only through the whole abstract text for his specified keywords, but also from limited sections in the abstracts. The sections reflect the structure of abstract texts, such as BACKGROUND and CONCLUSIONS. This feature makes it easier to narrow down search results when adding extra keywords does not work, and allows for ranking search results according to users' needs. The MEDLINE database contains a small portion of "structured" abstracts, in which sections are explicitly marked by the headings. They thus require no additional processing for inferring which section each sentence belongs to. They also provide training data for constructing classifiers that section the rest of the unstructured abstracts lacking explicit section heading, which form a majority of the MEDLINE corpus. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | MEDLINE database / structured abstracts / information retrieval / text classification |
Paper # | AI2003-34 |
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Conference Information | |
Committee | AI |
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Conference Date | 2003/9/7(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A MEDLINE document search system using section information |
Sub Title (in English) | |
Keyword(1) | MEDLINE database |
Keyword(2) | structured abstracts |
Keyword(3) | information retrieval |
Keyword(4) | text classification |
1st Author's Name | Takahiro YAMASAKI |
1st Author's Affiliation | Graduate School of Information Science Nara Institute of Science and Technology() |
2nd Author's Name | Masashi SHIMBO |
2nd Author's Affiliation | Graduate School of Information Science Nara Institute of Science and Technology |
3rd Author's Name | Yuji MATSUMOTO |
3rd Author's Affiliation | Graduate School of Information Science Nara Institute of Science and Technology |
Date | 2003/9/7 |
Paper # | AI2003-34 |
Volume (vol) | vol.103 |
Number (no) | 304 |
Page | pp.pp.- |
#Pages | 6 |
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