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» Better Informed Training of Latent Syntactic Features
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ACL
2010
13 years 5 months ago
Improving Chinese Semantic Role Labeling with Rich Syntactic Features
Developing features has been shown crucial to advancing the state-of-the-art in Semantic Role Labeling (SRL). To improve Chinese SRL, we propose a set of additional features, some...
Weiwei Sun
ICDM
2007
IEEE
116views Data Mining» more  ICDM 2007»
14 years 1 months ago
A Computational Approach to Style in American Poetry
We develop a quantitative method to assess the style of American poems and to visualize a collection of poems in relation to one another. Qualitative poetry criticism helped guide...
David M. Kaplan, David M. Blei
JIPS
2007
103views more  JIPS 2007»
13 years 7 months ago
Feature Extraction of Concepts by Independent Component Analysis
: Semantic clustering is important to various fields in the modern information society. In this work we applied the Independent Component Analysis method to the extraction of the f...
Altangerel Chagnaa, Cheolyoung Ock, Chang Beom Lee...
ICASSP
2010
IEEE
13 years 7 months ago
Syntactic and sub-lexical features for Turkish discriminative language models
This paper investigates syntactic and sub-lexical features in Turkish discriminative language models (DLMs). DLM is a featurebased language modeling approach. It reranks the ASR o...
Ebru Arisoy, Murat Saraclar, Brian Roark, Izhak Sh...
CVPR
2009
IEEE
15 years 2 months ago
Shared Kernel Information Embedding for Discriminative Inference
Latent Variable Models (LVM), like the Shared-GPLVM and the Spectral Latent Variable Model, help mitigate over- fitting when learning discriminative methods from small or modera...
David J. Fleet, Leonid Sigal, Roland Memisevic