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<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>IJIRCSTJournal</PublisherName>
      <JournalTitle>International Journal of Innovative Research in Computer Science and Technology</JournalTitle>
      <PISSN>I</PISSN>
      <EISSN>S</EISSN>
      <Volume-Issue>Volume 3 Issue 4</Volume-Issue>
      <PartNumber/>
      <IssueTopic>science &amp; technology</IssueTopic>
      <IssueLanguage>English</IssueLanguage>
      <Season>July - August 2015</Season>
      <SpecialIssue>N</SpecialIssue>
      <SupplementaryIssue>N</SupplementaryIssue>
      <IssueOA>Y</IssueOA>
      <PubDate>
        <Year>2019</Year>
        <Month>12</Month>
        <Day>02</Day>
      </PubDate>
      <ArticleType>Computer Sciences</ArticleType>
      <ArticleTitle>A Review of Question Answering System in Online Health Guide in Natural Language</ArticleTitle>
      <SubTitle/>
      <ArticleLanguage>English</ArticleLanguage>
      <ArticleOA>Y</ArticleOA>
      <FirstPage>29</FirstPage>
      <LastPage>32</LastPage>
      <AuthorList>
        <Author>
          <FirstName>Premchand</FirstName>          
          <AuthorLanguage>English</AuthorLanguage>
          <Affiliation/>
          <CorrespondingAuthor>Y</CorrespondingAuthor>
          <ORCID/>
             
        </Author>
      </AuthorList>
      <DOI></DOI>
      <Abstract>Generation of answer in QA system isone of the most challenging research areas in natural language and performing in the medical domain is more difficult. The main reason is: patient has faith in doctor&amp;rsquo;s information but may doubt on the machine. Also, accuracy of the system is restricted in natural language. The computer may find the information of a disease but not as efficient as human. In this paper, various well known question answering systems are discussed and analyzed with their benefits and limitations. Finally, in this review, a new approach is visualized to overcome the limitations of present question answering system.</Abstract>
      <AbstractLanguage>English</AbstractLanguage>
      <Keywords>Medical domain, Natural language, QA</Keywords>
      <URLs>
        <Abstract>https://ijircst.org/abstract.php?article_id=221</Abstract>
      </URLs>      
    </Journal>
  </Article>
</ArticleSet>