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    AuthorMuñoz, Emir (12)Davis, Brian (4)Hogan, Aidan (4)Hürlimann, Manuela (4)Vandenbussche, Pierre-Yves (4)... View MoreSubject
    Data analytics (26)
    Linked data (4)Wikipedia (3)Brexit (2)Machine learning (2)... View MoreDate Issued2018 (1)2017 (3)2016 (12)2015 (2)2014 (4)TypeWorkshop paper (12)Conference Paper (11)Demonstration paper (1)Report (1)

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    Now showing items 1-10 of 26

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    On the correlation between topic and user behaviour in online communities 

    Aumayr, Erik; Hayes, Conor (ICWSM-16, 2016-05-20)
    In the advancement of a better understanding of user behaviour on the Internet, clustering approaches are used as a means to group and categorise online communities. Although clustering approaches indicate similarity between ...
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    Tell me who are your friends, and I’ll tell you who you are 

    Torres-Tramón, Pablo; Hayes, Conor (AICS 2016, 2016-09-20)
    Mentions of politicians in news articles can reflect politician interactions on their daily activities. In this work, we present a mathematical model to represent such interactions as a graph, and we use it to predict the ...
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    Combining lexical and spatial knowledge to predict spatial relations between objects in images 

    Hürlimann, Manuela; Bos, Johan (ACL Anthology, 2016-08-11)
    Explicit representations of images are useful for linguistic applications related to images. We design a representation based on first-order models that capture the objects present in an image as well as their spatial ...
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    Identifying equivalent relation paths in knowledge graphs 

    Mohamed, Sameh K.; Muñoz, Emir; Nováček, Vít; Vandenbussche, Pierre-Yves (Springer Verlag, 2017-06-19)
    Relation paths are sequences of relations with inverse that allow for complete exploration of knowledge graphs in a two-way unconstrained manner. They are powerful enough to encode complex relationships between entities ...
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    Semantic relation classification: task formalisation and refinement 

    Silva, Vivian S.; Hürliman, Manuela; Davis, Brian; Handschuh, Siegfried; Freitas, André (Association for Computational Linguistics, 2016-12-12)
    The identification of semantic relations between terms within texts is a fundamental task in Natural Language Processing which can support applications requiring a lightweight semantic interpretation model. Currently, ...
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    A Twitter sentiment gold standard for the Brexit referendum 

    Hürlimann, Manuela; Davis, Brian; Cortis, Keith; Freitas, André; Handschuh, Siegfried; Fernández, Sergio (CEUR Workshop Proceedings, 2016-09-12)
    A Twitter Sentiment Gold Standard for the Brexit Referendum Manuela Hürlimann, Brian Davis Insight Centre for Data Analytics National University of Ireland Galway, Ireland {first.last}@insight-centre.org Keith Cortis, André ...
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    In or out? Real-time monitoring of BREXIT sentiment on Twitter 

    Vasiliu, Laurentiu; Freitas, André; Caroli, Frederico; McDermott, Ross; Zarrouk, Manel; Hürlimann, Manuela; Davis, Brian; Daudert, Tobias; Khaled, Malek Ben; Byrne, David; Fernández, Sergio; Cavallini, Angelo (CEUR Workshop Proceedings, 2016-09-12)
    The SSIX (Social Sentiment analysis financial IndeXes) project is a European Innovation Project sponsored by the European Commission under the Horizon 2020 framework. SSIX aims to provide European SMEs with a collection ...
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    Dublin City University and Partners' participation in the INS and VTT Tracks at TRECVid 2016 

    Marsden, Mark; Mohedano, Eva; McGuinness, Kevin; Calafell, Andrea; Giro-i-Nieto, Xavier; O'Connor, Noel E.; Zhou, Jiang; Azavedo, Lucas; Daudert, Tobias; Davis, Brian; Hürlimann, Manuela; Afli, Haithem; Du, Jinhua; Ganguly, Debasis; Li, Wei; Way, Andy; Smeaton, Alan F. (2016-11-14)
    Dublin City University participated with a consortium of colleagues from NUI Galway and Universitat Polit`ecnica de Catalunya in two tasks in TRECVid 2016, Instance Search (INS) and Video to Text (VTT). For the INS task ...
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    SemEval-2016 Task 13: Taxonomy Extraction Evaluation (TExEval-2) 

    Bordea, Georgeta; Lefever, Els; Buitelaar, Paul (Insight Centre for Data Analytics, 2016-06-16)
    This paper describes the second edition of the shared task on Taxonomy Extraction Evaluation organised as part of SemEval 2016. This task aims to extract hypernym-hyponym relations between a given list of domain-specific ...
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    Categorising the online communities of stack exchange using quantitative user behaviour features 

    Aumayr, Erik (Insight Centre for Data Analytics, NUI Galway, 2016-03-02)
    Maintaining online communities is vital in order to increase and retain their economic and social value. Before applying any performance altering strategies, it is important to determine the different types of communities, ...
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