Patrick Ehlen
ABSTRACT
Upcoming technologies will automatically identify and extract certain types of general information from meetings, such as topics and the tasks people agree to do. We explore interfaces for presenting this information to users after a meeting is completed, using two post-meeting interfaces that display information from topics and action items respectively. These interfaces also provide an excellent forum for obtaining user feedback about the performance of classification algorithms, allowing the system to learn and improve with time. We describe how we manage the delicate balance of obtaining necessary feedback without overburdening users. We also evaluate the effectiveness of feedback from one interface on improvement of future action item detection.
- Satanjeev Banerjee and Alex Rudnicky. Using simple speech-based features to detect the state of a meeting and the roles of the meeting participants. In Proceedings of the 8th International Conference on Spoken Language Processing (INTERSPEECH - ICSLP), 2004.Google Scholar
- Satanjeev Banerjee and Alexander Rudnicky. A TextTiling based approach to topic boundary detection in meetings. In Proceedings of the 9th International Conference on Spoken Language Processing (INTERSPEECH - ICSLP), Pittsburgh, Pennsylvania, September 2006.Google Scholar
- Satanjeev Banerjee and Alexander Rudnicky. Segmenting meetings into agenda items by extracting implicit supervision from human note-taking. In Prooceedings of the International Conference on Intelligent User Interfaces (IUI'07), Honolulu, Hawaii, January 2007. ACM. Google ScholarDigital Library
- David Blei, Andrew Ng, and Michael Jordan. Latent Dirichlet allocation. Journal of Machine Learning Research, 3:993--1022, 2003. Google ScholarDigital Library
- Simon Corston-Oliver, Eric Ringger, Michael Gamon, and Richard Campbell. Task-focused summarization of email. In Proceedings of the 2004 ACL Workshop Text Summarization Branches Out, 2004.Google Scholar
- Michel Galley, Kathleen McKeown, Eric Fosler-Lussier, and Hongyan Jing. Discourse segmentation of multi-party conversation. In Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics (ACL), 2003. Google ScholarDigital Library
- Maria Georgescul, Alexander Clark, and Susan Armstrong. Exploiting structural meeting-specific features for topic segmentation. In Actes de la 14ème Conférence sur le Traitement Automatique des Langues Naturelles, Toulouse, France, June 2007. Association pour le Traitement Automatique des Langues.Google Scholar
- Alexander Gruenstein, John Niekrasz, and Matthew Purver. Meeting structure annotation: data and tools. In Proceedings of the 6th SIGdial Workshop on Discourse and Dialogue, Lisbon, Portugal, September 2005.Google Scholar
- Surabhi Gupta, John Niekrasz, Matthew Purver, and Daniel Jurafsky. Resolving "you" in multi-party dialog. In Proceedings of the 8th SIGdial Workshop on Discourse and Dialogue, Antwerp, Belgium, September 2007.Google Scholar
- Pei-Yun Hsueh and Johanna Moore. Automatic topic segmentation and labeling in multiparty dialogue. In Proceedings of the 1st IEEE/ACM Workshop on Spoken Language Technology (SLT), Palm Beach, Aruba, 2006.Google ScholarCross Ref
- A. Janin, D. Baron, J. Edwards, D. Ellis, D. Gelbart, N. Morgan, B. Peskin, T. Pfau, E. Shriberg, A. Stolcke, and C. Wooters. The ICSI meeting corpus. In Proceedings of the 2003 International Conference on Acoustics, Speech, and Signal Processing (ICASSP), April 2003.Google Scholar
- Adam Janin, Jeremy Ang, Sonali Bhagat, Rajdip Dhillon, Jane Edwards, Javier Marcías-Guarasa, Nelson Morgan, Barbara Peskin, Elizabeth Shriberg, Andreas Stolcke, Chuck Wooters, and Britta Wrede. The ICSI meeting project: Resources and research. In Proceedings of the 2004 ICASSP NIST Meeting Recognition Workshop, 2004.Google Scholar
- Konstantinos Koumpis and Steve Renals. Content-based access to spoken audio. IEEE Signal Processing Magazine, 22(5):61--69, 2005.Google ScholarCross Ref
- Anton Nijholt. Meetings, gatherings and events in smart environments. In S. Spencer, editor, Proceedings of VRCAI 2004: ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry, pages 229--232, Singapore, June 2004. ACM. Google ScholarDigital Library
- Matthew Purver, John Dowding, John Niekrasz, Patrick Ehlen, Sharareh Noorbaloochi, and Stanley Peters. Detecting and summarizing action items in multi-party dialogue. In Proceedings of the 8th SIGdial Workshop on Discourse and Dialogue, Antwerp, Belgium, September 2007.Google Scholar
- Matthew Purver, Patrick Ehlen, and John Niekrasz. Detecting action items in multi-party meetings: Annotation and initial experiments. In Steve Renals, Samy Bengio, and Jonathan Fiscus, editors, Machine Learning for Multimodal Interaction: Third International Workshop, MLMI 2006, Revised Selected Papers, volume 4299 of Lecture Notes in Computer Science, pages 200--211. Springer, 2006. Google ScholarDigital Library
- Matthew Purver, Konrad Körding, Thomas Griffiths, and Joshua Tenenbaum. Unsupervised topic modelling for multi-party spoken discourse. In Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics (COLING-ACL), pages 17--24, Sydney, Australia, July 2006. Association for Computational Linguistics. Google ScholarDigital Library
- SIMILE. Semantic Interoperability of Metadata and Information in unLike Environments. Available from http://simile.mit.edu/timeline/, 2007.Google Scholar
- Simon Tucker and Steve Whittaker. Accessing multimodal meeting data: Systems, problems and possibilities. In Samy Bengio and Hervé Bourlard, editors, Machine Learning for Multimodal Interaction: First International Workshop, MLMI 2004, Revised Selected Papers, volume 3361 of Lecture Notes in Computer Science, pages 1--11. Springer, 2005. Google ScholarDigital Library
- Alex Waibel, Tanja Schultz, Michael Bett, Matthias Denecke, Robert Malkin, Ivica Rogina, Rainer Stiefelhagen, and Jie Yang. SMaRT: The smart meeting room task at ISL. In International Conference on Acoustic, Speech, and Signal Processing (ICASSP), pages 752--755, Hong Kong, April 2003.Google ScholarCross Ref
Index Terms
- Meeting adjourned: off-line learning interfaces for automatic meeting understanding
Recommendations
Meeting facilitation: process versus content interventions
This article examines the impacts of two types of meeting facilitation that occur in traditional and GSS environments: process and content facilitation. Based on existing facilitation, leadership, and GSS research, and structuration theory, we ...
The next-generation business meeting: from i-lands to flexible meeting landscapes
Special Issue: The Streitz Perspective: Computation is ubiquitous, yet must be designed for human use (a Festschrift for Norbert Streitz)Meetings are an important form of interaction in business settings. However, meetings are often not held in a way that makes all participants feel engaged. Meeting support systems try to overcome this obstacle by helping meeting participants in the ...
Prezi meeting: collaboration in a zoomable canvas based environment
CHI EA '11: CHI '11 Extended Abstracts on Human Factors in Computing SystemsWe are introducing a zoomable, canvas based editor called Prezi, in which multiple users can collaborate synchronously, and share a common workspace for various purposes. They can develop a presentation together, create a mindmap, a storyline or do ...
Comments