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Ontology-Based Discourse Understanding for a Persistent Meeting Assistant., , , and . AAAI Spring Symposium: Persistent Assistants: Living and Working with AI, page 26-33. AAAI, (2005)A Multimodal Discourse Ontology for Meeting Understanding., and . MLMI, volume 3869 of Lecture Notes in Computer Science, page 162-173. Springer, (2005)Detecting and Summarizing Action Items in Multi-Party Dialogue., , , , , and . SIGdial, page 18-25. Association for Computational Linguistics, (2007)Annotating Participant Reference in English Spoken Conversation., and . Linguistic Annotation Workshop, page 256-264. Association for Computational Linguistics, (2010)SynKB: Semantic Search for Synthetic Procedures., , , , and . EMNLP (Demos), page 311-318. Association for Computational Linguistics, (2022)A Meeting Browser that Learns., , and . Interaction Challenges for Intelligent Assistants, volume SS-07-04 of AAAI Technical Report, page 33-40. AAAI Press, (2007)Detecting Action Items in Multi-party Meetings: Annotation and Initial Experiments., , and . MLMI, volume 4299 of Lecture Notes in Computer Science, page 200-211. Springer, (2006)Assessing Problem-Solving Process At Scale., , , and . L@S, page 245-248. ACM, (2016)A wizard of oz framework for collecting spoken human-computer dialogs., , , , , , , , , and . INTERSPEECH, page 2269-2272. ISCA, (2004)Resolving "You" in Multi-Party Dialog., , , and . SIGdial, page 227-230. Association for Computational Linguistics, (2007)