Automatically Selecting Useful Phrases for Dialogue Act Tagging

@article{Samuel1999AutomaticallySU,
  title={Automatically Selecting Useful Phrases for Dialogue Act Tagging},
  author={Ken Samuel and Sandra Carberry and K. Vijay-Shanker},
  journal={CoRR},
  year={1999},
  volume={cs.AI/9906016}
}
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
Highly Cited
This paper has 42 citations. REVIEW CITATIONS
25 Citations
4 References
Similar Papers

Similar Papers

Loading similar papers…