Statistical Models for Text Segmentation
Machine Learning - Special issue on natural language learning
TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
Labeling images with a computer game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Discourse segmentation of multi-party conversation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Peekaboom: a game for locating objects in images
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Verbosity: a game for collecting common-sense facts
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Unsupervised topic modelling for multi-party spoken discourse
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
SmartNotes: implicit labeling of meeting data through user note-taking and browsing
NAACL-Demonstrations '06 Proceedings of the 2006 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume: demonstrations
Shallow discourse structure for action item detection
ACTS '09 Proceedings of the HLT-NAACL 2006 Workshop on Analyzing Conversations in Text and Speech
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
Meeting adjourned: off-line learning interfaces for automatic meeting understanding
Proceedings of the 13th international conference on Intelligent user interfaces
Implicitly supervised language model adaptation for meeting transcription
NAACL-Short '07 Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers
SIGdial '08 Proceedings of the 9th SIGdial Workshop on Discourse and Dialogue
Locating case discussion segments in recorded medical team meetings
SSCS '09 Proceedings of the third workshop on Searching spontaneous conversational speech
Detecting the noteworthiness of utterances in human meetings
SIGDIAL '09 Proceedings of the SIGDIAL 2009 Conference: The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Automatic annotation of dialogue structure from simple user interaction
MLMI'07 Proceedings of the 4th international conference on Machine learning for multimodal interaction
The CALO meeting assistant system
IEEE Transactions on Audio, Speech, and Language Processing
CSLDAMT '10 Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk
Participants' personal note-taking in meetings and its value for automatic meeting summarisation
Information Technology and Management
The nonverbal structure of patient case discussions in multidisciplinary medical team meetings
ACM Transactions on Information Systems (TOIS)
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Splitting a meeting into segments such that each segment contains discussions on exactly one agenda item is useful for tasks such as retrieval and summarization of agenda item discussions. However, accurate topic segmentation of meetings is a difficult task. In this paper, we investigate the idea of acquiring implicit supervision from human meeting participants to solve the segmentation problem. Specifically we have implemented and tested a note taking interface that gives value to users by helping them organize and retrieve their notes easily, but that also extracts a segmentation of the meeting based on note taking behavior. We show that the segmentation so obtained achieves a Pk value of 0.212 which improves upon an unsupervised baseline by 45% relative, and compares favorably with a current state-of-the-art algorithm. Most importantly, we achieve this performance without any features or algorithms in the classic sense.