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» Learning a language model from continuous speech
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NAACL
2003
14 years 11 months ago
Active Learning for Classifying Phone Sequences from Unsupervised Phonotactic Models
This paper describes an application of active learning methods to the classification of phone strings recognized using unsupervised phonotactic models. The only training data req...
Shona Douglas
ACL
2008
14 years 11 months ago
Trainable Generation of Big-Five Personality Styles through Data-Driven Parameter Estimation
Previous work on statistical language generation has primarily focused on grammaticality and naturalness, scoring generation possibilities according to a language model or user fe...
François Mairesse, Marilyn A. Walker
KDD
2012
ACM
244views Data Mining» more  KDD 2012»
13 years 9 days ago
Open domain event extraction from twitter
Tweets are the most up-to-date and inclusive stream of information and commentary on current events, but they are also fragmented and noisy, motivating the need for systems that c...
Alan Ritter, Mausam, Oren Etzioni, Sam Clark
CLIMA
2006
14 years 11 months ago
Acts of Commanding and Changing Obligations
If we are to take the notion of speech act seriously, we must be able to treat speech acts as acts. In what follows, I will try to model changes brought about by various acts of co...
Tomoyuki Yamada
INTERSPEECH
2010
14 years 4 months ago
Investigation of full-sequence training of deep belief networks for speech recognition
Recently, Deep Belief Networks (DBNs) have been proposed for phone recognition and were found to achieve highly competitive performance. In the original DBNs, only framelevel info...
Abdel-rahman Mohamed, Dong Yu, L. Deng