Managing Communicative Intentions in Dialogue using a Collaborative
Managing Communicative Intentions in Dialogue using a Collaborative
Dialogue act modeling for automatic tagging and recognition of conversational speech
Computational Linguistics
A process model for recognizing communicative acts and modeling negotiation subdialogues
Computational Linguistics
Dialogue act tagging with Transformation-Based Learning
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Backoff model training using partially observed data: application to dialog act tagging
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Lexical and Discourse Analysis of Online Chat Dialog
ICSC '07 Proceedings of the International Conference on Semantic Computing
Dialogue act tagging for instant messaging chat sessions
ACLstudent '05 Proceedings of the ACL Student Research Workshop
Natural Language Processing with Python
Natural Language Processing with Python
Language use: what can it tell us?
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Detecting power relations from written dialog
ACL '12 Proceedings of ACL 2012 Student Research Workshop
Annotation of adversarial and collegial social actions in discourse
LAW VI '12 Proceedings of the Sixth Linguistic Annotation Workshop
Influence and power in group interactions
SBP'13 Proceedings of the 6th international conference on Social Computing, Behavioral-Cultural Modeling and Prediction
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In this paper, we describe a novel approach to computational modeling and understanding of social and cultural phenomena in multi-party dialogues. We developed a two-tier approach in which we first detect and classify certain social language uses, including topic control, disagreement, and involvement, that serve as first order models from which presence the higher level social constructs such as leadership, may be inferred.