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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.
A Hypercard Random Sentence Generator For Language Study     Hypercard  Random Sentence Generator  Language Study       font style='font-size:12px;'> 2009/10/19
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. ...
A Uyghur Morpheme Analysis Method based on Conditional Random Fields     Xinjiang  Uyghur  Morpheme  Agglutinative language  CRFs  Feature       font style='font-size:12px;'> 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.
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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