Automatic summarization of open-domain multiparty dialogues in diverse genres
Computational Linguistics - Summarization
Dialogue act modeling for automatic tagging and recognition of conversational speech
Computational Linguistics
Detection of agreement vs. disagreement in meetings: training with unlabeled data
NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Detecting Action Items in Meetings
MLMI '08 Proceedings of the 5th international workshop on Machine Learning for Multimodal Interaction
Extrinsic Summarization Evaluation: A Decision Audit Task
MLMI '08 Proceedings of the 5th international workshop on Machine Learning for Multimodal Interaction
Computational Linguistic Text Processing: Logical Form, Semantic Interpretation, Discourse Relations and Question Answering
Multimodal subjectivity analysis of multiparty conversation
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
From extractive to abstractive meeting summaries: can it be done by sentence compression?
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Automatic decision detection in meeting speech
MLMI'07 Proceedings of the 4th international conference on Machine learning for multimodal interaction
Interpretation and transformation for abstracting conversations
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
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Abstract summarization of conversations is a very challenging task that requires full understanding of the dialog turns, their roles and relationships in the conversations. We present an efficient system, derived from a fullyfledged text analysis system that performs the necessary linguistic analysis of turns in conversations and provides useful argumentative labels to build synthetic abstractive summaries of conversations.