Paper Info
Title
Speech-driven query retrieval for question-answering
Abstract
Mobile devices are being used as aids to access a variety of information resources by browsing the Web. However, given their limited screen real estate and soft keyboards, general Web browsing to access information is a tedious task. A system that (a) allows a user to specify their information need as a spoken language query and (b) returns the answer to user's information need directly would be particularly appealing for these devices. In this paper, we address these two problems and present techniques that model question-answering as a query retrieval task. We show that we improve the retrieval accuracy by tightly integrating the constraints of the speech recognition and search components.
Year
DOI
Venue
2010
10.1109/ICASSP.2010.5494957
Acoustics Speech and Signal Processing
Keywords
Field
DocType
online front-ends,query processing,speech recognition,Web browsing,information resources,mobile devices,question answering,search components,speech driven query retrieval,speech recognition,spoken language query,user information,Finite-state Transducers,Question-Answering,Tight coupling,Voice search
Web search query,Query language,Cognitive models of information retrieval,Human–computer information retrieval,Query expansion,Information retrieval,Computer science,Web query classification,Ranking (information retrieval),Concept search
Conference
ISSN
ISBN
Citations 
1520-6149 E-ISBN : 978-1-4244-4296-6
978-1-4244-4296-6
3
PageRank 
References 
Authors
0.46
9
2
Name
Order
Citations
PageRank
Taniya Mishra18911.66
Srinivas Bangalore21319157.37