Data-Driven Methods for SMS-Based FAQ Retrieval

SMS text messaging is one of the most popular data applications on mobile phones these days. Other than personal communication, text messaging can also be used for various purposes like bill payment, banking, inquiry, etc. However these messages are extremely noisy and contain misspellings, abbrevia...

Full description

Saved in:
Bibliographic Details
Published inMultilingual Information Access in South Asian Languages pp. 104 - 118
Main Authors Bhattacharya, Sanmitra, Tran, Hung, Srinivasan, Padmini
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2013
SeriesLecture Notes in Computer Science
Subjects
Relevance Judgment
Retrieval Experiment
Retrieval Problem
Retrieval Strategy
Text Messaging
Online AccessGet full text

Cover

More Information
Summary:SMS text messaging is one of the most popular data applications on mobile phones these days. Other than personal communication, text messaging can also be used for various purposes like bill payment, banking, inquiry, etc. However these messages are extremely noisy and contain misspellings, abbreviations, transliterations, etc. Keeping this in mind, FIRE 2011 introduced a new retrieval task called SMS-based FAQ retrieval in English, Hindi and Malayalam. Within-language and cross-language tasks were designed for this retrieval problem. As solutions we propose various data-driven retrieval techniques that includes noise reduction in the SMS queries and the FAQ corpora. Overall, we find that our methods work well for the retrieval experiments in the different languages. For English, the use of Google Spelling Suggestions and term expansion strategies improve retrieval scores. For Hindi and Malayalam retrieval experiments, we find that translation of queries and corpus to English increases retrieval accuracy.
ISBN:9783642400865
3642400868
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-642-40087-2_11