Modelling and detecting decisions in multi-party dialogue

Authors:
Raquel Fernández;Matthew Frampton;Patrick Ehlen;Matthew Purver;Stanley Peters
Affiliations:
Stanford University;Stanford University;Stanford University;Stanford University;Stanford University
Venue:
SIGdial '08 Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue
Year:
2008

Citing 9
Cited 7

Making large-scale support vector machine learning practical

Advances in kernel methods
Meeting Analysis: Findings from Research and Practice

HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 1 - Volume 1
Detection of agreement vs. disagreement in meetings: training with unlabeled data

NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
Identifying agreement and disagreement in conversational speech: use of Bayesian networks to model pragmatic dependencies

ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
First Steps Towards the Automatic Construction of Argument-Diagrams from Real Discussions

Proceedings of the 2006 conference on Computational Models of Argument: Proceedings of COMMA 2006
The CALO Meeting Assistant

NAACL-Demonstrations '07 Proceedings of Human Language Technologies: The Annual Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations
Automatic decision detection in meeting speech

MLMI'07 Proceedings of the 4th international conference on Machine learning for multimodal interaction
Analysing meeting records: an ethnographic study and technological implications

MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
The necessity of a meeting recording and playback system, and the benefit of topic–level annotations to meeting browsing

INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction

Real-time decision detection in multi-party dialogue

EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Extracting decisions from multi-party dialogue using directed graphical models and semantic similarity

SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Decision detection using hierarchical graphical models

ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
The CALO meeting assistant system

IEEE Transactions on Audio, Speech, and Language Processing
Summarizing decisions in spoken meetings

WASDGML '11 Proceedings of the Workshop on Automatic Summarization for Different Genres, Media, and Languages
Participants' personal note-taking in meetings and its value for automatic meeting summarisation

Information Technology and Management
Dialogue act recognition using reweighted speaker adaptation

SIGDIAL '12 Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue

Quantified Score

Hi-index	0.00

Visualization

Abstract

We describe a process for automatically detecting decision-making sub-dialogues in transcripts of multi-party, human-human meetings. Extending our previous work on action item identification, we propose a structured approach that takes into account the different roles utterances play in the decision-making process. We show that this structured approach outperforms the accuracy achieved by existing decision detection systems based on flat annotations, while enabling the extraction of more fine-grained information that can be used for summarization and reporting.