Automatically Selecting Useful Phrases for Dialogue Act Tagging

  title={Automatically Selecting Useful Phrases for Dialogue Act Tagging},
  author={Ken Samuel and Sandra Carberry and K. Vijay-Shanker},
We present an empirical investigation of various ways to automatically identify phrases in a tagged corpus that are useful for dialogue act tagging. We found that a new method (which measures a phrase's deviation from an optimally-predictive phrase), enhanced with a lexical filtering mechanism, produces significantly better cues than manually-selected cue phrases, the exhaustive set of phrases in a training corpus, and phrases chosen by traditional metrics, like mutual information and… CONTINUE READING
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