Empirical studies on the disambiguation of cue phrases
Computational Linguistics
A computational theory of the function of clue words in argument understanding
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
Using automatically labelled examples to classify rhetorical relations: An assessment
Natural Language Engineering
Multifunctionality in dialogue
Computer Speech and Language
Interpretation and generation of dialogue with multidimensional context models
Proceedings of the Third COST 2102 international training school conference on Toward autonomous, adaptive, and context-aware multimodal interfaces: theoretical and practical issues
Automatic identification of discourse markers in dialogues: An in-depth study of like and well
Computer Speech and Language
Multilingual annotation and disambiguation of discourse connectives for machine translation
SIGDIAL '11 Proceedings of the SIGDIAL 2011 Conference
Discourse structure and language technology
Natural Language Engineering
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The literature contains a wealth of theoretical and empirical analyses of discourse marker functions in human communication. Some of these studies address the phenomenon that discourse markers are often multifunctional in a given context, but do not study this in systematic and formal ways. In this paper we show that the use of multiple dimensions in distinguishing and annotating semantic units supports a more accurate analysis of the meaning of discourse markers. We present an empirically-based analysis of the semantic functions of discourse markers in dialogue. We demonstrate that the multiple functions, which a discourse marker may have, are automatically recognizable from utterance surface-features using machine-learning techniques.