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Extracting information for context-aware meeting preparation

 
: Scerri, S.; Zadeh, B.Q.; Dabrowski, M.; Rivera, I.

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Volltext (PDF; )

Calzolari, N. ; European Language Resources Association -ELRA-, Paris:
Ninth International Conference on Language Resources and Evaluation, LREC 2014. Proceedings. Online resource : Reykjavik, Iceland, May 26-31, 2014
Paris: ELRA, 2014
http://www.lrec-conf.org/proceedings/lrec2014/index.html
ISBN: 978-2-9517408-8-4
S.120-124
International Conference on Language Resources and Evaluation (LREC) <9, 2014, Reykjavik>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IAIS ()

Abstract
People working in an office environment suffer from large volumes of information that they need to manage and access. Frequently, the problem is due to machines not being able to recognise the many implicit relationships between office artefacts, and also due to them not being aware of the context surrounding them. In order to expose these relationships and enrich artefact context, text analytics can be employed over semi-structured and unstructured content, including free text. In this paper, we explain how this strategy is applied and partly evaluated for a specific use-case: supporting the attendees of a calendar event to prepare for the meeting.

: http://publica.fraunhofer.de/dokumente/N-369918.html