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Extractive text summarization system to aid data extraction from full text in systematic review development
OBJECTIVES: Extracting data from publication reports is a standard process in systematic review (SR) development. However, the data extraction process still relies too much on manual effort which is slow, costly, and subject to human error. In this study, we developed a text summarization system aim...
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| Veröffentlicht in: | J Biomed Inform |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2016
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5362293/ https://ncbi.nlm.nih.gov/pubmed/27989816 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2016.10.014 |
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