acl acl2010 acl2010-81 acl2010-81-reference knowledge-graph by maker-knowledge-mining
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Author: Trung H. Bui ; Stanley Peters
Abstract: We investigate hierarchical graphical models (HGMs) for automatically detecting decisions in multi-party discussions. Several types of dialogue act (DA) are distinguished on the basis of their roles in formulating decisions. HGMs enable us to model dependencies between observed features of discussions, decision DAs, and subdialogues that result in a decision. For the task of detecting decision regions, an HGM classifier was found to outperform non-hierarchical graphical models and support vector machines, raising the F1-score to 0.80 from 0.55.
Satanjeev Banerjee, Carolyn Ros e´, and Alex Rudnicky. 2005. The necessity of a meeting recording and playback system, and the benefit of topic-level annotations to meeting browsing. In Proceedings of the 10th International Conference on Human-Computer Interaction. H. H. Bui, S. Venkatesh, and G. West. 2002. Policy recognition in the abstract hidden markov model. Journal of Artificial Intelligence Research, 17:45 1– 499. Trung Huu Bui, Matthew Frampton, John Dowding, and Stanley Peters. 2009. Extracting decisions from multi-party dialogue using directed graphical models and semantic similarity. In Proceedings of the 10th Annual SIGDIAL Meeting on Discourse and Dialogue (SIGdial09). Nigel Crook, Ramon Granell, and Stephen Pulman. 2009. Unsupervised classification of dialogue acts using a dirichlet process mixture model. In Proceedings of SIGDIAL 2009: the 10th Annual Meeting of the Special Interest Group in Discourse and Dialogue, pages 341–348. Raquel Fern a´ndez, Matthew Frampton, Patrick Ehlen, Matthew Purver, and Stanley Peters. 2008. Modelling and detecting decisions in multi-party dialogue. In Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue. 311 Jurgen Van Gael, Andreas Vlachos, and Zoubin Ghahramani. 2009. The infinite HMM for unsupervised PoS tagging. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, pages 678–687. Michel Galley, Kathleen McKeown, Julia Hirschberg, and Elizabeth Shriberg. 2004. Identifying agreement and disagreement in conversational speech: Use of Bayesian networks to model pragmatic dependencies. In Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL). Daniel Gatica-Perez, Ian McCowan, Dong Zhang, and Samy Bengio. 2005. Detecting group interest level in meetings. In Proceedings of ICASSP. Pey-Yun Hsueh and Johanna Moore. 2007. Automatic decision detection in meeting speech. In Proceed- ings of MLMI 2007, Lecture Notes in Computer Science. Springer-Verlag. Adam Janin, Jeremy Ang, Sonali Bhagat, Rajdip Dhillon, Jane Edwards, Javier Marc ı´as-Guarasa, Nelson Morgan, Barbara Peskin, Elizabeth Shriberg, Andreas Stolcke, Chuck Wooters, and Britta Wrede. 2004. The ICSI meeting project: Resources and research. In Proceedings of the 2004 ICASSP NIST Meeting Recognition Workshop. Mark Johnson, Thomas Griffiths, and Sharon Goldwater. 2007. Bayesian inference for PCFGs via Markov chain Monte Carlo. In Proceedings of Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics, pages 139–146, Rochester, New York, April. Association for Computational Linguistics. John Lafferty, Andrew McCallum, and Fernando Pereira. 2001 . Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proceedings of the 18th International Conference on Machine Learning, pages 282– 289. Morgan Kaufmann. Iain McCowan, Jean Carletta, W. Kraaij, S. Ashby, S. Bourban, M. Flynn, M. Guillemot, T. Hain, J. Kadlec, V. Karaiskos, M. Kronenthal, G. Lathoud, M. Lincoln, A. Lisowska, W. Post, D. Reidsma, and P. Wellner. 2005. The AMI Meeting Corpus. In Proceedings of Measuring Behavior, the 5th International Conference on Methods and Techniques in Behavioral Research, Wageningen, Netherlands. Matthew Purver, John Dowding, John Niekrasz, Patrick Ehlen, Sharareh Noorbaloochi, and Stanley Peters. 2007. Detecting and summarizing action items in multi-party dialogue. In Proceedings of the 8th SIGdial Workshop on Discourse and Dialogue, Antwerp, Belgium. Charles Sutton, Andrew McCallum, and Khashayar Rohanimanesh. 2007. Dynamic conditional random fields: Factorized probabilistic models for labeling and segmenting sequence data. Journal of Machine Learning Research, 8:693–723. Steve Whittaker, Rachel Laban, and Simon Tucker. 2006. Analysing meeting records: An ethnographic study and technological implications. In S. Renals and S. Bengio, editors, Machine Learning for Multimodal Interaction: Second International Workshop, MLMI 2005, Revised Selected Papers, volume 3869 of Lecture Notes in Computer Science, pages 101– 113. Springer. 312