<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="scerri-etal-2014-extracting">
    <titleInfo>
        <title>Extracting Information for Context-aware Meeting Preparation</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Simon</namePart>
        <namePart type="family">Scerri</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Behrang</namePart>
        <namePart type="given">Q</namePart>
        <namePart type="family">Zadeh</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Maciej</namePart>
        <namePart type="family">Dabrowski</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Ismael</namePart>
        <namePart type="family">Rivera</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2014-may</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)</title>
        </titleInfo>
        <originInfo>
            <publisher>European Language Resources Association (ELRA)</publisher>
            <place>
                <placeTerm type="text">Reykjavik, Iceland</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <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.</abstract>
    <identifier type="citekey">scerri-etal-2014-extracting</identifier>
    <location>
        <url>http://www.lrec-conf.org/proceedings/lrec2014/pdf/1092_Paper.pdf</url>
    </location>
    <part>
        <date>2014-may</date>
        <extent unit="page">
            <start>120</start>
            <end>124</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Extracting Information for Context-aware Meeting Preparation
%A Scerri, Simon
%A Zadeh, Behrang Q.
%A Dabrowski, Maciej
%A Rivera, Ismael
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 may
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F scerri-etal-2014-extracting
%X 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.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/1092_Paper.pdf
%P 120-124

Markdown (Informal)

[Extracting Information for Context-aware Meeting Preparation](http://www.lrec-conf.org/proceedings/lrec2014/pdf/1092_Paper.pdf) (Scerri et al., LREC 2014)

• Extracting Information for Context-aware Meeting Preparation (Scerri et al., LREC 2014)

ACL

• Simon Scerri, Behrang Q. Zadeh, Maciej Dabrowski, and Ismael Rivera. 2014. Extracting Information for Context-aware Meeting Preparation. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 120–124, Reykjavik, Iceland. European Language Resources Association (ELRA).