• DocumentCode
    3453046
  • Title

    A syntactic rule-based method for automatic pathway information extraction from biomédical literature

  • Author

    Yanhua Wang ; Zhihao Yang ; Hongfei Lin ; Yanpeng Li

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Dalian Univ. of Technol., Dalian, China
  • fYear
    2012
  • fDate
    4-7 Oct. 2012
  • Firstpage
    626
  • Lastpage
    633
  • Abstract
    Automatically extracting protein pathway information from the vast amount of published literature helps us understand diseases and discover new drug targets. In this paper, we propose a syntactic rule-based method for extracting pathway relation information from Medline abstracts. This method takes into account comprehensive dependency types and negative connectives when extracting relations from syntactic analysis results. The benchmarking results demonstrate the effectiveness of our method.
  • Keywords
    biology computing; information retrieval; knowledge based systems; proteins; Medline abstracts; automatic pathway information extraction; biomédical literature; comprehensive dependency types; diseases; drug target discovery; negative connectives; protein pathway information extraction; syntactic rule-based method; Data mining; Information retrieval; Protein engineering; Proteins; Syntactics; Visualization; information extraction; pathway information extraction; syntactic analysis; text minging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine Workshops (BIBMW), 2012 IEEE International Conference on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    978-1-4673-2746-6
  • Electronic_ISBN
    978-1-4673-2744-2
  • Type

    conf

  • DOI
    10.1109/BIBMW.2012.6470211
  • Filename
    6470211