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Chemical entity extraction using CRF and an ensemble of extractors
BACKGROUND: As we are witnessing a great interest in identifying and extracting chemical entities in academic articles, many approaches have been proposed to solve this problem. In this work we describe a probabilistic framework that allows for the output of multiple information extraction systems t...
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| Published in: | J Cheminform |
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| Main Authors: | , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
BioMed Central
2015
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4331688/ https://ncbi.nlm.nih.gov/pubmed/25810769 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1758-2946-7-S1-S12 |
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