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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.
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...
We present a Chinese word segmentation system submitted to the closed track of Sighan bakeoff 2005. Our segmenter was built using a conditional random field sequence model that provides a framework to...
Random Walks on Context-Aware Relation Graphs for Ranking Social Tags.
This is a description and explanation of a random sentence generator which can be used in the study of foreign languages. The paper explains in detail how to use the Hypercard stack Random Sentences. ...
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...
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...

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