User interactions with everyday applications as context for just-in-time information access
Proceedings of the 5th international conference on Intelligent user interfaces
Query-Free Information Retrieval
IEEE Expert: Intelligent Systems and Their Applications
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ISWC '97 Proceedings of the 1st IEEE International Symposium on Wearable Computers
Just-in-time information retrieval agents
IBM Systems Journal
World Wide Web
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From Searching to Browsing through Multimodal Documents Linking
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The AMI meeting corpus: a pre-announcement
MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
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MLMI'04 Proceedings of the First international conference on Machine Learning for Multimodal Interaction
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Proceedings of the 2010 international workshop on Searching spontaneous conversational speech
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As multimodal data becomes easier to record and store, the question arises as to what practical use can be made of archived corpora, and in particular what tools allowing efficient access to it can be built. We use the AMI Meeting Corpus as a case study to build an automatic content linking device, i.e. a system for real-time data retrieval. The corpus provides not only the data repository, but is used also to simulate ongoing meetings for development and testing of the device. The main features of the corpus are briefly described, followed by an outline of data preparation steps prior to indexing, and of the methods for building queries from ongoing meeting discussions, retrieving elements from the corpus and accessing the results. A series of user studies based on prototypes of the content linking device have confirmed the relevance of the concept, and methods for task-based evaluation are under development.