Connection
William Baumgartner to Data Mining
This is a "connection" page, showing publications William Baumgartner has written about Data Mining.
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Connection Strength |
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![](https://profiles.ucdenver.edu/Framework/Images/connection_left.gif) |
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![](https://profiles.ucdenver.edu/Framework/Images/connection_right.gif) |
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0.524 |
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Cohen KB, Lanfranchi A, Choi MJ, Bada M, Baumgartner WA, Panteleyeva N, Verspoor K, Palmer M, Hunter LE. Coreference annotation and resolution in the Colorado Richly Annotated Full Text (CRAFT) corpus of biomedical journal articles. BMC Bioinformatics. 2017 Aug 17; 18(1):372.
Score: 0.135
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Verspoor K, Cohen KB, Lanfranchi A, Warner C, Johnson HL, Roeder C, Choi JD, Funk C, Malenkiy Y, Eckert M, Xue N, Baumgartner WA, Bada M, Palmer M, Hunter LE. A corpus of full-text journal articles is a robust evaluation tool for revealing differences in performance of biomedical natural language processing tools. BMC Bioinformatics. 2012 Aug 17; 13:207.
Score: 0.095
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Bada M, Eckert M, Evans D, Garcia K, Shipley K, Sitnikov D, Baumgartner WA, Cohen KB, Verspoor K, Blake JA, Hunter LE. Concept annotation in the CRAFT corpus. BMC Bioinformatics. 2012 Jul 09; 13:161.
Score: 0.095
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Verspoor K, Roeder C, Johnson HL, Cohen KB, Baumgartner WA, Hunter LE. Exploring species-based strategies for gene normalization. IEEE/ACM Trans Comput Biol Bioinform. 2010 Jul-Sep; 7(3):462-71.
Score: 0.082
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Roeder C, Jonquet C, Shah NH, Baumgartner WA, Verspoor K, Hunter L. A UIMA wrapper for the NCBO annotator. Bioinformatics. 2010 Jul 15; 26(14):1800-1.
Score: 0.082
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Boguslav M, Cohen KB, Baumgartner WA, Hunter LE. Improving precision in concept normalization. Pac Symp Biocomput. 2018; 23:566-577.
Score: 0.035
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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