2013-09-18
Using natural language processing to improve biomedical concept normalization and relation mining
Publication
Publication
Gebruik van natuurlijke taalverwerking om biomedische conceptherkenning en relatie-extractie te verbeteren
This thesis concerns the use of natural language processing for improving biomedical concept normalization and relation mining. We begin with introducing the background of biomedical text mining, and subsequently we will continue by describing a typical text mining pipeline, some key issues and problems in mining biomedical texts, and the possibility of using natural language procesing to solve the problems. Finally we end an outline of the work done in this thesis.
| Additional Metadata | |
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| , | |
| Erasmus MC Rotterdam, European Commission, J.E. Jurriaanse Stichting | |
| Erasmus MC: University Medical Center Rotterdam | |
| J. van der Lei (Johan) | |
| hdl.handle.net/1765/41343 | |
| Organisation | Erasmus MC: University Medical Center Rotterdam |
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Kang, N. (2013, September 18). Using natural language processing to improve biomedical concept normalization and relation mining. Retrieved from http://hdl.handle.net/1765/41343 |
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| Additional Files | |
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| N.Kang_Cover.pdf , 6mb | |
| 3814_Kang, Ning.jpg Cover Image , 1mb | |
| Stellingen N.Kang.pdf , 95kb | |
