Automatically Selecting Useful Phrases for Dialogue Act Tagging
<|reference_start|>Automatically Selecting Useful Phrases for Dialogue Act Tagging: 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 information gain.<|reference_end|>
@article{samuel1999automatically,
    title={Automatically Selecting Useful Phrases for Dialogue Act Tagging},
    author={Ken Samuel, Sandra Carberry, and K. Vijay-Shanker},
    journal={Samuel, Ken and Carberry, Sandra and Vijay-Shanker, K. 1999.
  Automatically Selecting Useful Phrases for Dialogue Act Tagging. In
  Proceedings of the Fourth Conference of the Pacific Association for
  Computational Linguistics. Waterloo, Ontario, Canada},
    year={1999},
    archivePrefix={arXiv},
    eprint={cs/9906016},
    primaryClass={cs.AI cs.LG}
}