Incremental dialogue act understanding

  title={Incremental dialogue act understanding},
  author={Volha Petukhova and Harry Bunt},
This paper presents a machine learning-based approach to the incremental understanding of dialogue utterances, with a focus on the recognition of their communicative functions. A token-based approach combining the use of local classifiers, which exploit local utterance features, and global classifiers which use the outputs of local classifiers applied to previous and subsequent tokens, is shown to result in excellent dialogue act recognition scores for unsegmented spoken dialogue. This can be… CONTINUE READING
Highly Cited
This paper has 23 citations. REVIEW CITATIONS