Abstract
The AMI Meeting Corpus contains 100 h of meetings captured using many synchronized recording devices, and is designed to support work in speech and video processing, language engineering, corpus linguistics, and organizational psychology. It has been transcribed orthographically, with annotated subsets for everything from named entities, dialogue acts, and summaries to simple gaze and head movement. In this written version of an LREC conference keynote address, I describe the data and how it was created. If this is “killer” data, that presupposes a platform that it will “sell”; in this case, that is the NITE XML Toolkit, which allows a distributed set of users to create, store, browse, and search annotations for the same base data that are both time-aligned against signal and related to each other structurally.
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Acknowledgements
I thank the large number of researchers involved in the creation of the NITE XML Toolkit, both during the NITE project and afterwards, and in the collection, transcription, and annotation of the AMI Meeting Corpus, without whom these more personal reflections would not be possible. This work was funded by the European Union 6th FWP IST Integrated Project AMI (Augmented Multi-party Interaction, FP6-506811).
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This paper is an extended version of a Keynote Address presented at the Language Resources & Evaluation Conference, Genoa, May 2006.
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Carletta, J. Unleashing the killer corpus: experiences in creating the multi-everything AMI Meeting Corpus. Lang Resources & Evaluation 41, 181–190 (2007). https://doi.org/10.1007/s10579-007-9040-x
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DOI: https://doi.org/10.1007/s10579-007-9040-x