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ICASSP
2009
IEEE
16 years 1 months ago
Language model transformation applied to lightly supervised training of acoustic model for congress meetings
For effective training of acoustic and language models for spontaneous speech such as meetings, it is significant to exploit the texts available in a large scale, which may not b...
Tatsuya Kawahara, Masato Mimura, Yuka Akita
UAI
2008
15 years 7 months ago
Topic Models Conditioned on Arbitrary Features with Dirichlet-multinomial Regression
Although fully generative models have been successfully used to model the contents of text documents, they are often awkward to apply to combinations of text data and document met...
David M. Mimno, Andrew McCallum
CIKM
2010
Springer
15 years 5 months ago
Collaborative Dual-PLSA: mining distinction and commonality across multiple domains for text classification
:  Collaborative Dual-PLSA: Mining Distinction and Commonality across Multiple Domains for Text Classification Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yuhong Xiong, Zhon...
Fuzhen Zhuang, Ping Luo, Zhiyong Shen, Qing He, Yu...
NAACL
2010
15 years 4 months ago
An Unsupervised Aspect-Sentiment Model for Online Reviews
With the increase in popularity of online review sites comes a corresponding need for tools capable of extracting the information most important to the user from the plain text da...
Samuel Brody, Noemie Elhadad
AINA
2009
IEEE
16 years 1 months ago
CUTER: An Efficient Useful Text Extraction Mechanism
In this paper we present CUTER, a system that processes HTML pages in order to extract the useful text from them. The mechanism is focalized on HTML pages that include news articl...
George Adam, Christos Bouras, Vassilis Poulopoulos