emnlp emnlp2010 emnlp2010-81 emnlp2010-81-reference knowledge-graph by maker-knowledge-mining
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Author: Eric Hardisty ; Jordan Boyd-Graber ; Philip Resnik
Abstract: Strong indications of perspective can often come from collocations of arbitrary length; for example, someone writing get the government out of my X is typically expressing a conservative rather than progressive viewpoint. However, going beyond unigram or bigram features in perspective classification gives rise to problems of data sparsity. We address this problem using nonparametric Bayesian modeling, specifically adaptor grammars (Johnson et al., 2006). We demonstrate that an adaptive na¨ ıve Bayes model captures multiword lexical usages associated with perspective, and establishes a new state-of-the-art for perspective classification results using the Bitter Lemons corpus, a collection of essays about mid-east issues from Israeli and Palestinian points of view.
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