Publikation
The AMIDA Automatic Content Linking Device: Just-in-Time Document Retrieval in Meetings
Andrei Popescu-Belis; Erik Boertjes; Jonathan Kilgour; Peter Poller; Sandro Castronovo; Theresa Wilson; Alejandro Jaimes; Jean Carletta
In: Andrei Popescu-Belis; Rainer Stiefelhagen (Hrsg.). Machine Learning for Multimodal Interaction. Machine Learning and Multimodal Interaction (MLMI-08), 5th International Workshop, September 8-10, Utrecht, Netherlands, Pages 272-283, Lecture Notes in Computer Science (LNCS), No. 5237, ISBN 978-3-540-85852-2, Springer, Heidelberg, 2008.
Zusammenfassung
The AMIDA Automatic Content Linking Device (ACLD) is
a just-in-time document retrieval system for meeting environments. The
ACLD listens to a meeting and displays information about the documents
from the group’s history that are most relevant to what is being
said. Participants can view an outline or the entire content of the documents,
if they feel that these documents are potentially useful at that
moment of the meeting. The ACLD proof-of-concept prototype places
meeting-related documents and segments of previously recorded meetings
in a repository and indexes them. During a meeting, the ACLD
continually retrieves the documents that are most relevant to keywords
found automatically using the current meeting speech. The current prototype
simulates the real-time speech recognition that will be available
in the near future. The software components required to achieve these
functions communicate using the Hub, a client/server architecture for
annotation exchange and storage in real-time. Results and feedback for
the first ACLD prototype are outlined, together with plans for its future
development within the AMIDA EU integrated project. Potential users
of the ACLD supported the overall concept, and provided feedback to
improve the user interface and to access documents beyond the group’s
own history.