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dc.contributor.authorSimon Scerri and Behrang QasemiZadeh and Maciej Dabrowski and Ismael Rivera
dc.date.accessioned2014-06-11T11:55:25Z
dc.date.available2014-06-11T11:55:25Z
dc.date.issued2014
dc.identifier.citationSimon Scerri and Behrang QasemiZadeh and Maciej Dabrowski and Ismael Rivera (2014) Extracting Information for Context-aware Meeting Preparation Proceedings of the Ninth International Conference on Language Resources and Evaluationen_US
dc.identifier.urihttp://www.lrec-conf.org/proceedings/lrec2014/pdf/1092_Paper.pdf
dc.identifier.urihttp://hdl.handle.net/10379/4382
dc.description.abstractPeople 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.en_US
dc.language.isoenen_US
dc.relation.ispartofProceedings of the Ninth International Conference on Language Resources and Evaluationen
dc.subjectContext-aware Information Extraction, Knowledge Discoveryen_US
dc.titleExtracting Information for Context-aware Meeting Preparationen_US
dc.typeConference Paperen_US
dc.date.updated2014-06-05T14:06:19Z
dc.identifier.doihttp://www.lrec-conf.org/proceedings/lrec2014/pdf/1092_Paper.pdf
dc.description.peer-reviewedpeer-reviewed
dc.contributor.funder|~|EU|~|SFI|~|
dc.internal.rssid6464067
dc.local.contactBehrang Qasemizadeh, Deri, Ida Business Park, Lower Dangan, Nui Galway. Email: behrang.qasemizadeh@deri.org
dc.local.copyrightcheckedYes
dc.local.versionACCEPTED
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