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Comparison of Question Answering Systems

  • Tripti Dodiya
  • Sonal Jain
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 182)

Abstract

Current Information retrieval systems like Google are based on keywords wherein the result is in the form of list of documents. The number of retrieved documents is large. The user searches these documents one by one to find the correct answer. Sometimes the correct or relevant answer to the searched keywords is difficult to find. Studies indicate that an average user seeking an answer to the question searches very few documents. Also, as the search is tedious it demotivates the user and he/she gets tired if the documents do not contain the content which they are searching for. Question-answering systems (QA Systems) stand as a new alternative for Information Retrieval Systems. This survey has been done as part of doctoral research work on “Medical QA systems”. The paper aims to survey some open and restricted domain QA systems. The surveyed QA systems though found to be useful to obtain information showed some limitations in various aspects which should resolved for the user satisfaction.

Keywords

Information retrieval systems Question Answering system Open QA systems Closed QA systems 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.GLS Institute of Computer ApplicationsAhmedabadIndia
  2. 2.GLS Institute of Computer TechnologyAhmedabadIndia

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