SMSFR: SMS-based FAQ retrieval system

Partha Pakray; Santanu Pal; Soujanya Poria; Sivaji Bandyopadhyay; Alexander Gelbukh

doi:10.1007/978-3-642-37798-3_4

SMSFR: SMS-based FAQ retrieval system

Partha Pakray, Santanu Pal, Soujanya Poria, Sivaji Bandyopadhyay, Alexander Gelbukh

Centro de Investigación en Computación (CIC)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

The paper describes an SMS-based FAQ retrieval system. The goal of this task is to find a question Q*from corpora of FAQs (Frequently Asked Questions) that best answers or matches the SMS query S. The test corpus used in this paper contained FAQs in three languages: English, Hindi and Malayalam. The FAQs were from several domains, including railway enquiry, telecom, health and banking. We first checked the SMS using the Bing spell-checker. Then we used the unigram matching, bigram matching, and 1-skip bigram matching modules for monolingual FAQ retrieval. For cross-lingual system, we used the following three modules: an SMS-to-English query translation system, an English-to-Hindi translation system, and cross-lingual FAQ retrieval.

Original language	English
Title of host publication	Advances in Artificial Intelligence - 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, Revised Selected Papers
Pages	36-45
Number of pages	10
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-37798-3_4
State	Published - 2013
Event	11th Mexican International Conference on Artificial Intelligence, MICAI 2012 - San Luis Potosi, Mexico Duration: 27 Oct 2012 → 4 Nov 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	7630 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th Mexican International Conference on Artificial Intelligence, MICAI 2012
Country/Territory	Mexico
City	San Luis Potosi
Period	27/10/12 → 4/11/12

Keywords

Bing translator
domain-specific information retrieval
n-grams
spell checker

Access to Document

10.1007/978-3-642-37798-3_4

Cite this

Pakray, P., Pal, S., Poria, S., Bandyopadhyay, S., & Gelbukh, A. (2013). SMSFR: SMS-based FAQ retrieval system. In Advances in Artificial Intelligence - 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, Revised Selected Papers (PART 2 ed., pp. 36-45). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7630 LNAI, No. PART 2). https://doi.org/10.1007/978-3-642-37798-3_4

Pakray, Partha ; Pal, Santanu ; Poria, Soujanya et al. / SMSFR : SMS-based FAQ retrieval system. Advances in Artificial Intelligence - 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, Revised Selected Papers. PART 2. ed. 2013. pp. 36-45 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

@inproceedings{4a8f4d857673438ab5ca78a954ffc859,

title = "SMSFR: SMS-based FAQ retrieval system",

abstract = "The paper describes an SMS-based FAQ retrieval system. The goal of this task is to find a question Q*from corpora of FAQs (Frequently Asked Questions) that best answers or matches the SMS query S. The test corpus used in this paper contained FAQs in three languages: English, Hindi and Malayalam. The FAQs were from several domains, including railway enquiry, telecom, health and banking. We first checked the SMS using the Bing spell-checker. Then we used the unigram matching, bigram matching, and 1-skip bigram matching modules for monolingual FAQ retrieval. For cross-lingual system, we used the following three modules: an SMS-to-English query translation system, an English-to-Hindi translation system, and cross-lingual FAQ retrieval.",

keywords = "Bing translator, domain-specific information retrieval, n-grams, spell checker",

author = "Partha Pakray and Santanu Pal and Soujanya Poria and Sivaji Bandyopadhyay and Alexander Gelbukh",

year = "2013",

doi = "10.1007/978-3-642-37798-3_4",

language = "Ingl{\'e}s",

isbn = "9783642377976",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 2",

pages = "36--45",

booktitle = "Advances in Artificial Intelligence - 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, Revised Selected Papers",

edition = "PART 2",

note = "11th Mexican International Conference on Artificial Intelligence, MICAI 2012 ; Conference date: 27-10-2012 Through 04-11-2012",

}

Pakray, P, Pal, S, Poria, S, Bandyopadhyay, S & Gelbukh, A 2013, SMSFR: SMS-based FAQ retrieval system. in Advances in Artificial Intelligence - 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, Revised Selected Papers. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 7630 LNAI, pp. 36-45, 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, San Luis Potosi, Mexico, 27/10/12. https://doi.org/10.1007/978-3-642-37798-3_4

SMSFR: SMS-based FAQ retrieval system. / Pakray, Partha; Pal, Santanu; Poria, Soujanya et al.
Advances in Artificial Intelligence - 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, Revised Selected Papers. PART 2. ed. 2013. p. 36-45 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7630 LNAI, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - SMSFR

T2 - 11th Mexican International Conference on Artificial Intelligence, MICAI 2012

AU - Pakray, Partha

AU - Pal, Santanu

AU - Poria, Soujanya

AU - Bandyopadhyay, Sivaji

AU - Gelbukh, Alexander

PY - 2013

Y1 - 2013

N2 - The paper describes an SMS-based FAQ retrieval system. The goal of this task is to find a question Q*from corpora of FAQs (Frequently Asked Questions) that best answers or matches the SMS query S. The test corpus used in this paper contained FAQs in three languages: English, Hindi and Malayalam. The FAQs were from several domains, including railway enquiry, telecom, health and banking. We first checked the SMS using the Bing spell-checker. Then we used the unigram matching, bigram matching, and 1-skip bigram matching modules for monolingual FAQ retrieval. For cross-lingual system, we used the following three modules: an SMS-to-English query translation system, an English-to-Hindi translation system, and cross-lingual FAQ retrieval.

AB - The paper describes an SMS-based FAQ retrieval system. The goal of this task is to find a question Q*from corpora of FAQs (Frequently Asked Questions) that best answers or matches the SMS query S. The test corpus used in this paper contained FAQs in three languages: English, Hindi and Malayalam. The FAQs were from several domains, including railway enquiry, telecom, health and banking. We first checked the SMS using the Bing spell-checker. Then we used the unigram matching, bigram matching, and 1-skip bigram matching modules for monolingual FAQ retrieval. For cross-lingual system, we used the following three modules: an SMS-to-English query translation system, an English-to-Hindi translation system, and cross-lingual FAQ retrieval.

KW - Bing translator

KW - domain-specific information retrieval

KW - n-grams

KW - spell checker

UR - http://www.scopus.com/inward/record.url?scp=84875836555&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-37798-3_4

DO - 10.1007/978-3-642-37798-3_4

M3 - Contribución a la conferencia

SN - 9783642377976

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 36

EP - 45

BT - Advances in Artificial Intelligence - 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, Revised Selected Papers

Y2 - 27 October 2012 through 4 November 2012

ER -

Pakray P, Pal S, Poria S, Bandyopadhyay S, Gelbukh A. SMSFR: SMS-based FAQ retrieval system. In Advances in Artificial Intelligence - 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, Revised Selected Papers. PART 2 ed. 2013. p. 36-45. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-37798-3_4

SMSFR: SMS-based FAQ retrieval system

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this