FAQ Retrieval Using Noisy Queries

Authors

  • Barla V Department of Computer Science and Engineering, National Institute of Technology, Warangal, India
  • Achanti S Department of Computer Science and Engineering, National Institute of Technology, Warangal, India
  • Uppala R Department of Computer Science and Engineering, National Institute of Technology, Warangal, India

Keywords:

Question matching, Question classification, Core NLP, Support vector machines, Unigram matching, Syntactic tree matching

Abstract

In spite of great advances of information retrieval systems and associated natural language processing technologies, domain-specific retrieval systems and retrieval systems used with special types of queries continue to represent a challenge for current technology and to be a topic of active research. The Forum for Information Retrieval Evaluation (FIRE) is a forum for Information Retrieval evaluation that is traditionally mainly focused on Indian languages. India, with its huge population, has a very high rate of using mobile phones, with service costs low enough for even very poor people to use the phones actively. Accordingly, FIRE 2013 included an SMS-based FAQ retrieval task. The goal of this task was to find a question Q* from corpora of FAQs (Frequently Asked Questions) that best answers or matches a given SMS query S.

References

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Published

2015-05-30

How to Cite

[1]
V. Barla, S. Achanti, and R. Uppala, “FAQ Retrieval Using Noisy Queries”, Int. J. Comp. Sci. Eng., vol. 3, no. 5, pp. 243–251, May 2015.

Issue

Vol. 3 No. 5 (2015): IJCSE May Edition

Section

Research Article

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