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We present a statistical parsing framework for sentence-level sentiment classification in this article. Unlike previous works that use syntactic parsing results for sentiment analysis, we develop a st...
A number of researchers have recently conducted experiments comparing “deep” hand-crafted wide-coverage with “shallow” treebank- and machine-learning-based parsers at the level of dependencies, using ...
This article describes a number of log-linear parsing models for an automatically extracted lexicalized grammar. The models are “full parsing models in the sense that probabilities are defined for co...
Sample Selection for Statistical Parsing     Sample Selection  Statistical Parsing       font style='font-size:12px;'> 2015/8/31
Corpus-based statistical parsing relies on using large quantities of annotated text as training examples. Building this kind of resource is expensive and labor-intensive. This work proposes to use sam...
The paper proposes an information-theory-based method for feature types analysis in probabilistic evaluation modelling for statistical parsing. The basic idea is that we use entropy and conditional en...

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