Modeling Perspective Using Adaptor Grammars

@inproceedings{Hardisty2010ModelingPU,
  title={Modeling Perspective Using Adaptor Grammars},
  author={Eric Hardisty and Jordan L. Boyd-Graber and Philip Resnik},
  booktitle={EMNLP},
  year={2010}
}
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 naı̈ve… CONTINUE READING
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