A review of the state of the art in hindi question answering systems

Santosh Kumar Ray, Amir Ahmad, Khaled Shaalan

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

Abstract

Question Answering Systems (QAS) are tools to retrieve precise answers for user questions from a large set of text documents. Researchers from information retrieval and natural language processing community have put tremendous efforts to improve the performance of QASs across several languages. However, Hindi, the fourth most spoken language has not seen a proportional development in the field of question answering to an extent that information seekers accept QASs as a good alternative of search engines. In this chapter, a pipelined architecture for the development of QASs has been explained in the context of English and Hindi languages. This chapter also reviews the developments taking place in Hindi QASs while explaining the challenges faced by researchers in developing Hindi QASs. To encourage and support the new researchers in conducting researches in Hindi QASs, a list of techniques, tools and linguistic resources required to implement the components of a QAS are described in this chapter in a simple and persuasive manner. Finally, the future directions for research in Hindi QASs have been proposed.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Verlag
Pages265-292
Number of pages28
DOIs
Publication statusPublished - 2018

Publication series

NameStudies in Computational Intelligence
Volume740
ISSN (Print)1860-949X

Keywords

  • Answer presentation
  • Architecture
  • Document retrieval
  • Language resources
  • Query expansion
  • Question answering systems
  • Tools for hindi information retrieval

ASJC Scopus subject areas

  • Artificial Intelligence

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