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EMNLP
2010
13 years 6 months ago
A Semi-Supervised Approach to Improve Classification of Infrequent Discourse Relations Using Feature Vector Extension
Several recent discourse parsers have employed fully-supervised machine learning approaches. These methods require human annotators to beforehand create an extensive training corp...
Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuk...
EMNLP
2009
13 years 6 months ago
Supervised Learning of a Probabilistic Lexicon of Verb Semantic Classes
The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
Yusuke Miyao, Jun-ichi Tsujii
ACCV
2010
Springer
13 years 3 months ago
An Unsupervised Framework for Action Recognition Using Actemes
Abstract. In speech recognition, phonemes have demonstrated their efficacy to model the words of a language. While they are well defined for languages, their extension to human act...
Kaustubh Kulkarni, Edmond Boyer, Radu Horaud, Amit...
INTERSPEECH
2010
13 years 3 months ago
On-the-fly lattice rescoring for real-time automatic speech recognition
This paper presents a method for rescoring the speech recognition lattices on-the-fly to increase the word accuracy while preserving low latency of a real-time speech recognition ...
Hasim Sak, Murat Saraclar, Tunga Güngör
ICASSP
2011
IEEE
12 years 12 months ago
Investigations into the incorporation of the Ideal Binary Mask in ASR
While much work has been dedicated to exploring how best to incorporate the Ideal Binary Mask (IBM) in automatic speech recognition (ASR) for noisy signals, we demonstrate that th...
William Hartmann, Eric Fosler-Lussier