C4.5: programs for machine learning
C4.5: programs for machine learning
Capturing, structuring, and representing ubiquitous audio
ACM Transactions on Information Systems (TOIS)
Groupwork close up: a comparison of the group design process with and without a simple group editor
ACM Transactions on Information Systems (TOIS)
Evaluating and optimizing autonomous text classification systems
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
Machine Learning
“I'll get that off the audio”: a case study of salvaging multimedia meeting records
Proceedings of the ACM SIGCHI Conference on Human factors in computing systems
Statistical Models for Text Segmentation
Machine Learning - Special issue on natural language learning
The effects of workspace awareness support on the usability of real-time distributed groupware
ACM Transactions on Computer-Human Interaction (TOCHI)
Prosody-based automatic segmentation of speech into sentences and topics
Speech Communication - Special issue on accessing information in spoken audio
A study of thresholding strategies for text categorization
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Topic segmentation with an aspect hidden Markov model
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Video-Mediated Communication
Four Paradigms for Indexing Video Conferences
IEEE MultiMedia
A critique and improvement of an evaluation metric for text segmentation
Computational Linguistics
The Role of Pause Occurrence and Pause Duration in the Signaling of Narrative Structure
PorTAL '02 Proceedings of the Third International Conference on Advances in Natural Language Processing
The Rules Behind Roles: Identifying Speaker Role in Radio Broadcasts
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Integrating Meeting Capture within a Collaborative Team Environment
UbiComp '01 Proceedings of the 3rd international conference on Ubiquitous Computing
TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
Advances in domain independent linear text segmentation
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Automatic Analysis of Multimodal Group Actions in Meetings
IEEE Transactions on Pattern Analysis and Machine Intelligence
A statistical model for domain-independent text segmentation
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Discourse segmentation of multi-party conversation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Computer Supported Cooperative Work
Segmenting meetings into agenda items by extracting implicit supervision from human note-taking
Proceedings of the 12th international conference on Intelligent user interfaces
The class imbalance problem: A systematic study
Intelligent Data Analysis
Remote conversations: the effects of mediating talk with technology
Human-Computer Interaction
Achieving Diagnosis by Consensus
Computer Supported Cooperative Work
Summarizing speech without text using hidden Markov models
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
SIGdial '08 Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue
Classification of patient case discussions through analysis of vocalisation graphs
Proceedings of the 2009 international conference on Multimodal interfaces
Speaker change detection with privacy-preserving audio cues
Proceedings of the 2009 international conference on Multimodal interfaces
Computer Supported Cooperative Work
Estimating continuous distributions in Bayesian classifiers
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
VACE multimodal meeting corpus
MLMI'05 Proceedings of the Second 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
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
Accessing multimodal meeting data: systems, problems and possibilities
MLMI'04 Proceedings of the First international conference on Machine Learning for Multimodal Interaction
An overview of automatic speaker diarization systems
IEEE Transactions on Audio, Speech, and Language Processing
Modeling individual and group actions in meetings with layered HMMs
IEEE Transactions on Multimedia
Automatic Meeting Segmentation Using Dynamic Bayesian Networks
IEEE Transactions on Multimedia
IEEE Transactions on Multimedia
Shared decision making needs a communication record
Proceedings of the 2013 conference on Computer supported cooperative work
Proceedings of the 15th ACM on International conference on multimodal interaction
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Meeting analysis has a long theoretical tradition in social psychology, with established practical ramifications in computer science, especially in computer supported cooperative work. More recently, a good deal of research has focused on the issues of indexing and browsing multimedia records of meetings. Most research in this area, however, is still based on data collected in laboratories, under somewhat artificial conditions. This article presents an analysis of the discourse structure and spontaneous interactions at real-life multidisciplinary medical team meetings held as part of the work routine in a major hospital. It is hypothesized that the conversational structure of these meetings, as indicated by sequencing and duration of vocalizations, enables segmentation into individual patient case discussions. The task of segmenting audio-visual records of multidisciplinary medical team meetings is described as a topic segmentation task, and a method for automatic segmentation is proposed. An empirical evaluation based on hand labelled data is presented, which determines the optimal length of vocalization sequences for segmentation, and establishes the competitiveness of the method with approaches based on more complex knowledge sources. The effectiveness of Bayesian classification as a segmentation method, and its applicability to meeting segmentation in other domains are discussed.