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A Random Walk–Based Model for Identifying Semantic Orientation
Random Walk–Based Model Identifying Semantic Orientation
2015/9/14
Automatically identifying the sentiment polarity of words is a very important task that has been used as the essential building block of many natural language processing systems such as text classific...
Toward a theory of information processing in graded,random,interactive networks
information processing in graded random interactive networks
2015/6/19
Toward a theory of information processing in graded,random,interactive networks.
Learning Random Walk Models for Inducing Word Dependency Distributions
Random Walk Models Inducing Word Dependency
2015/6/12
Many NLP tasks rely on accurately estimating word dependency probabilities P(w1|w2), where the words w1 and w2 have a particular relationship (such as verb-object). Because of the sparseness of counts...
Random Walks on Context-Aware Relation Graphs for Ranking Social Tags
Context-Aware Relation Graphs Ranking Social Tags
2015/1/24
Random Walks on Context-Aware Relation Graphs for Ranking Social Tags.
A Uyghur Morpheme Analysis Method based on Conditional Random Fields
Xinjiang Uyghur Morpheme Agglutinative language CRFs Feature
2015/1/24
Morpheme analysis is very important for Uyghur language processing. Morpheme analysis
of Uyghur is quite different from other language, for this task the keys include feature
selection and the des...
A Uyghur Morpheme Analysis Method based on Conditional Random
A Uyghur Morpheme Analysis Method Conditional Random
2015/1/24
A Uyghur Morpheme Analysis Method based on Conditional Random.
Semi-supervised Learning for Image Annotation Based on Conditional Random Fields（图）
Image Annotation Conditional Random Fields
2015/1/24
Automatic image annotation (AIA) has been proved to be an effective and promising solution to automatically deduce the high-level semantics from low-level visual features. Due to the inherent ambiguit...