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    AuthorQasemiZadeh, Behrang (4)Handschuh, Siegfried (3)Heravi, Bahareh Rahmanzadeh (3)Khare, Prashant (3)Decker, Stefan (2)... View MoreSubjectLinked Data (3)Linked data (3)Citizen journalism (2)Data analytics (2)Event detection (2)... View MoreDate Issued
    2014 (23)
    TypeConference Paper (22)

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    The ACL RD-TEC: A Dataset for Benchmarking Terminology Extraction and Classification in Computational Linguistics 

    QasemiZadeh, Behrang; Handschuh, Siegfried (2014)
    This paper introduces ACL RD-TEC: a dataset for evaluating the extraction and classification of terms from literature in the domain of computational linguistics. The dataset is derived from the Association for Computational ...
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    GenomeSnip: Fragmenting the Genomic Wheel to augment discovery in cancer research 

    Kamdar, M; Iqbal, A; Saleem, M; Deus, H; Decker, S (2014)
    Cancer genomics researchers have greatly benefited from high-throughput technologies for the characterization of genomic alterations in patients. These voluminous genomics datasets when supplemented with the appropriate ...
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    Discovering Domain-Specific Public SPARQL Endpoints: A Life-Sciences Use-Case 

    Iqbal, Aftab (2014)
    A significant portion of the LOD cloud consists of Life Sciences data sets. The LOD cloud contains billions of clinical facts linked together forming an interlinked Web of Clinical Data . However, tools for new publishers ...
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    Using linked data to mine RDF from wikipedia's tables 

    Muñoz, Emir; Hogan, Aidan; Mileo, Alessandra (ACM, 2014)
    The tables embedded in Wikipedia articles contain rich, semi-structured encyclopaedic content. However, the cumulative content of these tables cannot be queried against. We thus propose methods to recover the semantics of ...
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    SemanTex: semantic text exploration using document links implied by conceptual networks extracted from the texts 

    Aldarra, Suad; Muñoz, Emir; Vandenbussche, Pierre-Yves; Nováček, Vít (ACMCEUR-WS.org, 2014)
    Despite of advances in digital document processing, exploration of implicit relationships within large amounts of textual resources can still be daunting. This is partly due to the ‘black-box’ nature of most current ...
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    Random Manhattan Integer Indexing: Incremental L1 Normed Vector Space Construction 

    QasemiZadeh, Behrang; Handschuh, Siegfried (2014)
    Vector space models (VSMs) are mathematically well-defined frameworks that have been widely used in the distributional approaches to semantics. In VSMs, high-dimensional vectors represent linguistic entities. In an ...
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    Where is the News Breaking? Towards a Location-based Event Detection Framework for Journalists 

    Khare, Prashant; Heravi, Bahareh Rahmanzadeh (Springer, 2014)
     The rise of user-generated content (UCG) as a source of information in the journalistic lifecycle is driving the need for automated methods to detect, filter, contextualise and verify citizen reports of breaking news ...
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    What just happened? A Framework for Social Event Detection and Contextualisation 

    Khare, Prashant; Torres, Pablo; Heravi, Bahareh Rahmanzadeh (2014-10-21)
    In course of a breaking news event, such as natural calamity, political uproar etc., a massive crowd sourced data is generated over social media which makes social media platforms an important source of information in ...
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    Towards Social Event Detection and Contextualisation for Journalists 

    Khare, Prashant; Heravi, Bahareh Rahmanzadeh (2014-08-23)
    Social media platforms have become an important source of information in course of a break- ing news event, such as natural calamity, political uproar, etc. News organisations and journal- ists are increasingly realising ...
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    Hot Topics and Schisms in NLP: Community and Trend Analysis with Saffron on ACL and LREC Proceedings 

    Buitelaar, Paul; Bordea, Georgeta; Coughlan, Barry (2014)
    In this paper we present a comparative analysis of two series of conferences in the field of Computational Linguistics, the LREC conference and the ACL conference. Conference proceedings were ...
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