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Connection

Michael Bada to Natural Language Processing

This is a "connection" page, showing publications Michael Bada has written about Natural Language Processing.

 
Connection Strength
 
 
 
1.177
 
  1. 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.
    View in: PubMed
    Score: 0.356
  2. Bada M, Hunter L. Identification of OBO nonalignments and its implications for OBO enrichment. Bioinformatics. 2008 Jun 15; 24(12):1448-55.
    View in: PubMed
    Score: 0.267
  3. Boguslav MR, Salem NM, White EK, Sullivan KJ, Bada M, Hernandez TL, Leach SM, Hunter LE. Creating an ignorance-base: Exploring known unknowns in the scientific literature. J Biomed Inform. 2023 07; 143:104405.
    View in: PubMed
    Score: 0.190
  4. Yadav P, Jezek E, Bouillon P, Callahan TJ, Bada M, Hunter LE, Cohen KB. Semantic Relations in Compound Nouns: Perspectives from Inter-Annotator Agreement. Stud Health Technol Inform. 2017; 245:644-648.
    View in: PubMed
    Score: 0.122
  5. 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.
    View in: PubMed
    Score: 0.090
  6. Bada M, Hunter L. Desiderata for ontologies to be used in semantic annotation of biomedical documents. J Biomed Inform. 2011 Feb; 44(1):94-101.
    View in: PubMed
    Score: 0.079
  7. Bada M, Hunter L. Enrichment of OBO ontologies. J Biomed Inform. 2007 Jun; 40(3):300-15.
    View in: PubMed
    Score: 0.059
  8. Johnson HL, Cohen KB, Baumgartner WA, Lu Z, Bada M, Kester T, Kim H, Hunter L. Evaluation of lexical methods for detecting relationships between concepts from multiple ontologies. Pac Symp Biocomput. 2006; 28-39.
    View in: PubMed
    Score: 0.014
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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