acl acl2010 acl2010-215 acl2010-215-reference knowledge-graph by maker-knowledge-mining

215 acl-2010-Speech-Driven Access to the Deep Web on Mobile Devices


Source: pdf

Author: Taniya Mishra ; Srinivas Bangalore

Abstract: The Deep Web is the collection of information repositories that are not indexed by search engines. These repositories are typically accessible through web forms and contain dynamically changing information. In this paper, we present a system that allows users to access such rich repositories of information on mobile devices using spoken language.


reference text

M. Banko and E. Brill. 2001 . Scaling to very very large corpora for natural language disambiguation. In Proceedings of the 39th annual meeting of the association for computational linguistics: ACL 2001, pages 26–33. J. Feng and S. Bangalore. 2009. Effects of word confusion networks on voice search. In Proceedings of EACL-2009, Athens, Greece. Google, 2009. http://www.google.com/mobile. P. Haffner. 2006. Scaling large margin classifiers for spoken language understanding. Speech Communication, 48(iv):239–261 . E. Hatcher and O. Gospodnetic. 2004. Lucene in Action (In Action series). Manning Publications Co., Greenwich, CT, USA. Microsoft, 2009. http://www.live.com. T. Mishra and S. Bangalore. 2010. Qme! : A speechbased question-answering system on mobile devices. In Proceedings of NAACL-HLT. D. Moldovan, C. Clark, and S. Harabagiu. 2005. Temporal context representation and reasoning. In Proceedings of the 19th International Joint Conference on Artificial Intelligence, pages 1009–1 104. J. Prager, J. Chu-Carroll, and K. Czuba. 2004. Question answering using constraint satisfaction: Qa-bydossier-with-contraints. In Proceedings of the 42nd annual meeting of the association for computational linguistics: ACL 2004, pages 574–581. J. Pustejovsky, R. Ingria, R. Saur ı´, J. Casta no, J. Littman, and R. Gaizauskas., 2001 . The language of time: A reader, chapter The specification languae TimeML. Oxford University Press. – D. Radev and B. Sundheim. 2002. Using timeml in question answering. Technical report, Brandies University. E. Saquete, J. L. Vicedo, P. Mart ı´nez-Barco, R. Mu noz, and H. Llorens. 2009. Enhancing qa systems with complex temporal question processing capabilities. Journal of Artificial Intelligence Research, 35:775– 811. vlingo.com, 2009. http://www.vlingomobile.com/downloads.html. YellowPages, 2009. http://www.speak4it.com. 65