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      Permanent link:
      https://www.ias.ac.in/article/fulltext/sadh/045/0269

    • Keywords

       

      Knowledge engineering; artificial intelligence; expert systems; natural language processing; hybrid intelligent systems.

    • Abstract

       

      Organizations, governments and many entities deal with an expanse of voluminous financial documents and this necessitates a need for a financial expert system which, given a financial document, extracts finance-related questions and answers from it. This expert system helps us to adequately summarize the document in the form of a question-answer report. This paper introduces the novel idea of generating finance-related questions and answers from financial documents by introducing a custom Financial Named Entity Recognizer,which can identify financial entities in a document with an accuracy of 92%. We have introduced a method ofgenerating finance-based questions using a sample document to obtain a set of generalized questions that we canfeed to any similar financial document. We also record the expected answer type during the question generationphase, which helps to develop a robust mechanism to verify that we always generate the correct answers duringthe answer extraction stage

    • Author Affiliations

       

      HARIHARAN JAYAKUMAR1 MADHAV SANKAR KRISHNAKUMAR VISHAL VEDA VYAS PEDDAGOPU RAJESWARI SRIDHAR

      1. National Institute of Technology Tiruchirappalli, Tanjore Main Road, National Highway 67, Tiruchirappalli 620 015, India
    • Dates

       
  • Sadhana | News

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