Empirical studies on the disambiguation of cue phrases
Computational Linguistics
Processes that shape conversation and their implications for computational linguistics
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Talking with HIGGINS: research challenges in a spoken dialogue system
PIT'06 Proceedings of the 2006 international tutorial and research conference on Perception and Interactive Technologies
Embodied conversational agents in computer assisted language learning
Speech Communication
Eliciting interactional phenomena in human-human dialogues
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
The additive effect of turn-taking cues in human and synthetic voice
Speech Communication
Towards incremental speech generation in dialogue systems
SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
The vocal intensity of turn-initial cue phrases in dialogue
SIGDIAL '10 Proceedings of the 11th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Towards incremental speech generation in conversational systems
Computer Speech and Language
Semi-supervised methods for exploring the acoustics of simple productive feedback
Speech Communication
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Humans produce speech incrementally and on-line as the dialogue progresses using information from several different sources in parallel. A dialogue system that generates output in a stepwise manner and not in preplanned syntactically correct sentences needs to signal how new dialogue contributions relate to previous discourse. This paper describes a data collection which is the foundation for an effort towards more human-like language generation in DEAL, a spoken dialogue system developed at KTH. Two annotators labelled cue phrases in the corpus with high inter-annotator agreement (kappa coefficient 0.82).