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Relational Features in Fine-Grained Opinion Analysis     Fine-Grained  Opinion Analysis       font style='font-size:12px;'> 2015/9/11
Fine-grained opinion analysis methods often make use of linguistic features but typically do not take the interaction between opinions into account. This article describes a set of experiments that de...
Features and Values     Features and Values       font style='font-size:12px;'> 2015/6/18
The paper discusses the linguistic aspects of a new general purpose facility for computing with features. The program was developed in connection with the course I taught at the University of Texas in...
Language ID-based training of multilingual stacked bottleneck features     Multilingual  Bottleneck features  DNN       font style='font-size:12px;'> 2014/11/27
In this paper, we explore multilingual feature-level data sharing via Deep Neural Network (DNN) stacked bottleneck features. Given a set of available source languages, we apply language identification...
In this paper, we investigate the use of deep neural networks (DNNs) to generate a stacked bottleneck (SBN) feature representation for low-resource speech recognition. We examine different SBN extract...
We perform phonetic classiſcation with an architecture whose elements are binary classiſers trained via linear regularized least squares (RLS). RLS is a simple yet powerful regularization al...
A Comparison and Semi-Quantitative Analysis of Words and Character-Bigrams as Features in Chinese Text Categorization.

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