Extracting Protein-Reaction Information from Tables of Unpredictable Format and Content in the Molecular Biology Literature

نویسندگان

  • Sam Sloate
  • Vincent Hsiao
  • Nina Charness
  • Ethan Lowman
  • Chris Maxey
  • Guannan Ren
  • Nathan Fields
  • Leora Morgenstern
چکیده

Tables in technical papers often provide much useful information that is not present in text. This paper focuses on the specific problem of automated table reading (ATR): automating the interpretation and extraction of information from proteinreaction information (PRI) tables in the molecular biology literature (MBL), in the context of a general knowledge-based approach to automating table reading.We report on the results of our system evaluation, which demonstrated a precision of greater than .9 in identifying relevant tables and .8 in mapping tables to correct relational schema.

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تاریخ انتشار 2016