The nature of statistical learning theory
The nature of statistical learning theory
Making large-scale support vector machine learning practical
Advances in kernel methods
Gemini: a natural language system for spoken-language understanding
ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics
Combining heterogeneous classifiers for word-sense disambiguation
WSD '02 Proceedings of the ACL-02 workshop on Word sense disambiguation: recent successes and future directions - Volume 8
Segmenting meetings into agenda items by extracting implicit supervision from human note-taking
Proceedings of the 12th international conference on Intelligent user interfaces
Automatic decision detection in meeting speech
MLMI'07 Proceedings of the 4th international conference on Machine learning for multimodal interaction
What determines inter-coder agreement in manual annotations? a meta-analytic investigation
Computational Linguistics
Participants' personal note-taking in meetings and its value for automatic meeting summarisation
Information Technology and Management
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We investigated automatic action item detection from transcripts of multi-party meetings. Unlike previous work (Gruenstein et al., 2005), we use a new hierarchical annotation scheme based on the roles utterances play in the action item assignment process, and propose an approach to automatic detection that promises improved classification accuracy while enabling the extraction of useful information for summarization and reporting.