Comparison of Question Answering Systems

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


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.


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


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  1. 1.
    Hammo, B., Abu-Salem, H., Lytinen, S., Evens, M.: QARAB: A Question Answering System to Support the Arabic Language. In: ACL 2002 Workshop on Computational Approaches to Semitic Languages, Philadelphia, PA, pp. 55–65 (July 2002)Google Scholar
  2. 2.
    Yu, H., Lee, M., Kaufman, D., Ely, J., Osheroff, J.A., Hripcsak, G., Cimino, J.: Development, implementation, and a cognitive evaluation of a definitional question answering system for physicians. Journal of Biomedical Informatics 40, 236–251 (2007)CrossRefGoogle Scholar
  3. 3.
  4. 4.
    Luque, J., Ferrés, D., Hernando, J., Mariño, J.B., Rodríguez, H.: Geovaqa: A voice activated geographical question answering systemGoogle Scholar
  5. 5.
    Kaisser, M., Becker, T.: Question Answering by Searching Large Corpora with Linguistic Methods. In: The Proceedings of the 2004 Edition of the Text Retrieval Conference, TREC 2004 (2004)Google Scholar
  6. 6.
    Kaisser, M.: The QuALiM question answering demo: supplementing answers with paragraphs drawn from Wikipedia. In: Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Demo Session, Columbus, Ohio, June 16, pp. 32–35 (2008)Google Scholar
  7. 7.
    Lee, M., Cimino, J., Zhu, H.R., Sable, C., Shanker, V., Ely, J., Yu, H.: Beyond Information Retrieval-Medical Question Answering. In: AMIA Annu. Symp. Proc., pp. 469–473 (2006)Google Scholar
  8. 8.
    Kangavari, M.R., Ghandchi, S., Golpour, M.: Information Retrieval: Improving Question Answering Systems by Query Reformulation and Answer Validation. World Academy of Science, Engineering and Technology 48, 303–310 (2008)Google Scholar
  9. 9.
    Bekhti, S., Rehman, A., Al-Harbi, M., Saba, T.: AQUASYS: An Arabic Question-Answering system based on extensive question analysis and answer relevance scoring. International Journal of Academic Research 3(4), 45–54 (2011)Google Scholar
  10. 10.
    Athenikosa, S.J., Hanb, H.: Biomedical question answering: A survey. Computer Methods and Programs in Biomedicine 99, 1–24 (2010)CrossRefGoogle Scholar
  11. 11.
    Lopez, V., Motta, E.: Aqualog: An ontology-portable question answering system for the semantic web. In: Proceedings of the International Conference on Natural Language for Information Systems, NLDB, pp. 89–102 (2004)Google Scholar
  12. 12.
    Lopez, V., Uren, V., Motta, E., Pasin, M.: AquaLog: An ontology-driven question answering system for organizational semantic intranets. Web Semantics: Science, Services and Agents on the World Wide Web 5, 72–105 (2007)CrossRefGoogle Scholar
  13. 13.

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© 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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