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Intelligent Informatics pp 99–107Cite as

Comparison of Question Answering Systems

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Part of the book series: Advances in Intelligent Systems and Computing ((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.

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Author information

Authors and Affiliations

  1. GLS Institute of Computer Applications, Ahmedabad, India

    Tripti Dodiya

  2. GLS Institute of Computer Technology, Ahmedabad, India

    Sonal Jain

Authors
  1. Tripti Dodiya
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  2. Sonal Jain
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Corresponding author

Correspondence to Tripti Dodiya .

Editor information

Editors and Affiliations

  1. (MIR Labs), Scientific Network for Innovation and, Machine Intelligence Research Labs, MIR Labs Campus, Auburn, 98071, Washington, USA

    Ajith Abraham

  2. Technology and Management, Indian Institute of Information, Technopark Campus, Trivandrum, 695581, India

    Sabu M Thampi

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© 2013 Springer-Verlag Berlin Heidelberg

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Dodiya, T., Jain, S. (2013). Comparison of Question Answering Systems. In: Abraham, A., Thampi, S. (eds) Intelligent Informatics. Advances in Intelligent Systems and Computing, vol 182. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32063-7_12

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  • DOI: https://doi.org/10.1007/978-3-642-32063-7_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32062-0

  • Online ISBN: 978-3-642-32063-7

  • eBook Packages: EngineeringEngineering (R0)

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