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FAQ Retrieval Using Noisy Queries

Vaishnavi Barla1 , SriMounika Achanti2 , Rohith Uppala3

Section:Research Paper, Product Type: Journal Paper
Volume-3 , Issue-5 , Page no. 243-251, May-2015

Online published on May 30, 2015

Copyright © Vaishnavi Barla, SriMounika Achanti , Rohith Uppala . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Vaishnavi Barla, SriMounika Achanti , Rohith Uppala, “FAQ Retrieval Using Noisy Queries,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.5, pp.243-251, 2015.

MLA Style Citation: Vaishnavi Barla, SriMounika Achanti , Rohith Uppala "FAQ Retrieval Using Noisy Queries." International Journal of Computer Sciences and Engineering 3.5 (2015): 243-251.

APA Style Citation: Vaishnavi Barla, SriMounika Achanti , Rohith Uppala, (2015). FAQ Retrieval Using Noisy Queries. International Journal of Computer Sciences and Engineering, 3(5), 243-251.

BibTex Style Citation:
@article{Barla_2015,
author = {Vaishnavi Barla, SriMounika Achanti , Rohith Uppala},
title = {FAQ Retrieval Using Noisy Queries},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2015},
volume = {3},
Issue = {5},
month = {5},
year = {2015},
issn = {2347-2693},
pages = {243-251},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=512},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=512
TI - FAQ Retrieval Using Noisy Queries
T2 - International Journal of Computer Sciences and Engineering
AU - Vaishnavi Barla, SriMounika Achanti , Rohith Uppala
PY - 2015
DA - 2015/05/30
PB - IJCSE, Indore, INDIA
SP - 243-251
IS - 5
VL - 3
SN - 2347-2693
ER -

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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.

Key-Words / Index Term

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

References

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