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10.3389/fninf.2015.00013

http://scihub22266oqcxt.onion/10.3389/fninf.2015.00013
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C4439553!4439553!26052282
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pmid26052282      Front+Neuroinform 2015 ; 9 (ä): ä
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  • Text mining for neuroanatomy using WhiteText with an updated corpus and a new web application #MMPMID26052282
  • French L; Liu P; Marais O; Koreman T; Tseng L; Lai A; Pavlidis P
  • Front Neuroinform 2015[]; 9 (ä): ä PMID26052282show ga
  • We describe the WhiteText project, and its progress towards automatically extracting statements of neuroanatomical connectivity from text. We review progress to date on the three main steps of the project: recognition of brain region mentions, standardization of brain region mentions to neuroanatomical nomenclature, and connectivity statement extraction. We further describe a new version of our manually curated corpus that adds 2,111 connectivity statements from 1,828 additional abstracts. Cross-validation classification within the new corpus replicates results on our original corpus, recalling 67% of connectivity statements at 51% precision. The resulting merged corpus provides 5,208 connectivity statements that can be used to seed species-specific connectivity matrices and to better train automated techniques. Finally, we present a new web application that allows fast interactive browsing of the over 70,000 sentences indexed by the system, as a tool for accessing the data and assisting in further curation. Software and data are freely available at http://www.chibi.ubc.ca/WhiteText/.
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