Qme!: A speech-based question-answering system on mobile devices

NAACL HLT 2010 - Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Main Conference

Volumn , Issue , 2010, Pages 55-63

  Mishra, Taniya ^a   Bangalore, Srinivas ^a  

^a AT AND T LABS RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BOOTSTRAP METHOD; DOMINANT MODE; INFORMATION ACCESS; QUESTION ANSWERING SYSTEMS; SMALL SCREENS; TIGHT COUPLING;

COMPUTATIONAL LINGUISTICS; INFORMATION RETRIEVAL; MOBILE DEVICES; SPEECH RECOGNITION; WEBSITES;

PROBLEM SOLVING;

EID: 79960336921     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (31)

1. L. Androutsopoulos. 1995. Natural language interfaces to databases - an introduction. Journal of Natural Language Engineering, 1:29-81.
2. 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.
3. L. Breiman. 1996. Bagging predictors. Machine Learning, 24(2):123-140. (Pubitemid 126724382)
4. S. Dumais, M. Banko, E. Brill, J. Lin, and A. Ng. 2002. Web question answering: is more always better? In SIGIR '02: Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval, pages 291-298, New York, NY, USA. ACM.
5. Google, 2009. http://www.google.com/mobile.
6. B.F. Green, A.K. Wolf, C. Chomsky, and K. Laughery. 1961. Baseball, an automatic question answerer. In Proceedings of the Western Joint Computer Conference, pages 219-224.
7. P. Haffner. 2006. Scaling large margin classifiers for spoken language understanding. Speech Communication, 48(iv):239-261. (Pubitemid 43207399)
8. E. Hatcher and O. Gospodnetic. 2004. Lucene in Action (In Action series). Manning Publications Co., Greenwich, CT, USA.
9. J. Jeon, W. B. Croft, and J. H. Lee. 2005. Finding similar questions in large question and answer archives. In CIKM '05: Proceedings of the 14th ACM international conference on Information and knowledge management, pages 84-90, New York, NY, USA. ACM. (Pubitemid 44022116)
10. B. Katz. 1997. Annotating the world wide web using natural language. In Proceedings of RIAO.
11. V.I. Levenshtein. 1966. Binary codes capable of correcting deletions, insertion and reversals. Soviet Physics Doklady, 10:707-710.
12. M. T. Maybury, editor. 2004. New Directions in Question Answering. AAAI Press.
13. Microsoft, 2009. http://www.live.com.
14. 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 1009-1104.
15. MSN-QnA, 2009. http://qna.live.com/.
16. th Annual Meeting of the Association of Computational Linguistics, pages 313-318, Philadelphia, PA, July.
17. J. Prager, J. Chu-Carroll, and K. Czuba. 2004. Question answering using constraint satisfaction: Qa-by-dossier-with-contraints. In Proceedings of the 42nd annual meeting of the association for computational linguistics: ACL 2004, pages 574-581.
18. J. Pustejovsky, R. Ingria, R. Saurí, J. Castano, J. Littman, and R. Gaizauskas., 2001. The language of time: A reader, chapter The specification languae - TimeML. Oxford University Press.
19. D. Radev and B. Sundheim. 2002. Using timeml in question answering. Technical report, Brandies University.
20. S. Robertson. 2004. Understanding inverse document frequency: On theoretical arguments for idf. Journal of Documentation, 60.
21. E. Saquete, J. L. Vicedo, P. Martínez-Barco, R. Munoz, and H. Llorens. 2009. Enhancing qa systems with complex temporal question processing capabilities. Journal of Artificial Intelligence Research, 35:775-811.
22. N. Tomuro and S. L. Lytinen. 2004. Retrieval models and Q and A learning with FAQ files. In New Directions in Question Answering, pages 183-202.
23. vlingo.com, 2009. http://www.vlingomobile.com/downloads.html.
24. R. J. Waldinger, D. E. Appelt, J. L. Dungan, J. Fry, J. R. Hobbs, D. J. Israel, P. Jarvis, D. L. Martin, S. Riehemann, M. E. Stickel, and M. Tyson. 2004. Deductive question answering from multiple resources. In New Directions in Question Answering, pages 253-262.
25. J. Weizenbaum. 1966. ELIZA - a computer program for the study of natural language communication between man and machine. Communications of the ACM, 1:36-45.
26. T. Winograd. 1972. Understanding Natural Language. Academic Press.
27. W. A. Woods. 1973. Progress in natural language understanding - an application to lunar geology. In Proceedings of American Federation of Information Processing Societies (AFIPS) Conference.
28. X. Xue, J. Jeon, and W. B. Croft. 2008. Retrieval models for question and answer archives. In SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, pages 475-482, New York, NY, USA. ACM.
29. Yahoo!, 2009. http://answers.yahoo.com/.
30. F. Yang, J. Feng, and G. DiFabbrizio. 2006. A data driven approach to relevancy recognition for contextual question answering. In HLT-NAACL 2006 Workshop on Interactive Question Answering, New York, USA, June 8-9.
31. YellowPages, 2009. http://www.speak4it.com.