| Download | - View accepted manuscript: Literature Mining in Molecular Biology (PDF, 554 KB)
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| Author | Search for: de Bruijn, Lambertus1 ; Search for: Martin, Joel1 |
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| Name affiliation | - National Research Council Canada. NRC Institute for Information Technology
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| Format | Text |
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| Type | Article |
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| Proceedings title | Proceedings of the EFMI Workshop on Natural Language Processing in Biomedical Applications |
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| Conference | EFMI Workshop on Natural Language Processing in Biomedical Applications, March 8-9, 2002., Nicosia Cyprus |
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| Pages | 1–5; # of pages: 5 |
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| Abstract | Literature mining is the process of extracting and combining facts from scientific publications. In recent years, many studies have resulted in computer programs to extract various molecular biology findings using Medline abstracts or full text articles. This article describes the range of techniques that have been applied in literature mining. In doing so, it divides automated reading into four general subtasks: text categorization, named entity tagging, fact extraction and collection-wide analysis. Special attention is given to the domain particularities of molecular biology. |
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| Publication date | 2002 |
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| Terms of use | |
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| Language | English |
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| NRC number | 45881 |
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| NPARC number | 8914293 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction |
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Record identifier | a9514d78-a9a6-44ed-ac9a-d1e2ac13f1d6 | | Record created | 2009-04-22 |
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| Record modified | 2019-03-14 |
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