Bayesian and belief-functions formalisms for evidential reasoning: a conceptual analysis
Readings in uncertain reasoning
Discourse structure in the TRAINS project
HLT '91 Proceedings of the workshop on Speech and Natural Language
A plan-based model for response generation in collaborative task-oriented dialogues
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
Spoken natural language dialog systems: a practical approach
Spoken natural language dialog systems: a practical approach
Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
User Modeling and User-Adapted Interaction
User Modeling and User-Adapted Interaction
The Trains 91 Dialogues
The TRAINS 93 Dialogues
Control of mixed-initiative discourse through meta-locutionary acts: a computational model
Control of mixed-initiative discourse through meta-locutionary acts: a computational model
Tracking initiative in collaborative dialogue interactions
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
A model for generating better explanations
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
Toward a plan-based understanding model for mixed-initiative dialogues
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
A three-level model for plan exploration
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
A tripartite plan-based model of dialogue
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Intention-based segmentation: human reliability and correlation with linguistic cues
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Response generation in collaborative negotiation
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Mixed initiative in dialogue: an investigation into discourse segmentation
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Cues and control in expert-client dialogues
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Redundancy in collaborative dialogue
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 1
COLLAGEN: A Collaboration Manager for Software Interface Agents
User Modeling and User-Adapted Interaction
User-Tailored Planning of Mixed Initiative Information-Seeking Dialogues
User Modeling and User-Adapted Interaction
A Computational Mechanism for Initiative in Answer Generation
User Modeling and User-Adapted Interaction
An Approach to Mixed Initiative Spoken Information Retrieval Dialogue
User Modeling and User-Adapted Interaction
Exploring Mixed-Initiative Dialogue Using Computer Dialogue Simulation
User Modeling and User-Adapted Interaction
Natural Language Processing and User Modeling: Synergies and Limitations
User Modeling and User-Adapted Interaction
Empirical Evaluation of User Models and User-Adapted Systems
User Modeling and User-Adapted Interaction
IEEE Intelligent Systems
An interaction initiative model for documentation
Proceedings of the 21st annual international conference on Documentation
MIMIC: an adaptive mixed initiative spoken dialogue system for information queries
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Evaluating automatic dialogue strategy adaptation for a spoken dialogue system
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
The role of initiative in tutorial dialogue
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 1
Document transformations and information states
SIGDIAL '00 Proceedings of the 1st SIGdial workshop on Discourse and dialogue - Volume 10
Comparing several aspects of human-computer and human-human dialogues
SIGDIAL '01 Proceedings of the Second SIGdial Workshop on Discourse and Dialogue - Volume 16
Bridging the gap between dialogue management and dialogue models
SIGDIAL '02 Proceedings of the 3rd SIGdial workshop on Discourse and dialogue - Volume 2
Impact of initiative on collaborative problem solving
HLT-SRWS '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Student Research Workshop
KSC-PaL: a peer learning agent that encourages students to take the initiative
EdAppsNLP '09 Proceedings of the Fourth Workshop on Innovative Use of NLP for Building Educational Applications
Initiative conflicts in task-oriented dialogue
Computer Speech and Language
Knowledge Co-construction and Initiative in Peer Learning Interactions
Proceedings of the 2009 conference on Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling
Recognizing authority in dialogue with an integer linear programming constrained model
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Innovation and evolution of services: role of initiatives
ePart'11 Proceedings of the Third IFIP WG 8.5 international conference on Electronic participation
KSC-PaL: a peer learning agent
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
Hi-index | 0.00 |
In this paper, we argue for the need to distinguish between task initiative and dialogue initiative, and present an evidential model for tracking shifts in both types of initiatives in collaborative dialogue interactions. Our model predicts the task and dialogue initiative holdersfor the next dialogue turn based on the current initiative holders and the effect that observed cues have on changing them. Our evaluation across various corpora shows that the use of cues consistently provides significant improvement in the system‘s prediction of task and dialogue initiative holders. Finally, we show how this initiative tracking model may be employed by a dialogue system to enable the system to tailor its responses to user utterances based on application domain, system‘s role in the domain, dialogue history, and user characteristics.