Now showing items 1-20 of 153

  • Accurate Bayesian prediction of cardiovascular-related mortality using ambulatory blood pressure measurements 

    O'Neill, James; Madden, Michael G.; Dolan, Eamon (Springer Cham, 2017-05-30)
    Hypertension is the leading cause of cardiovascular-related mortality (CVRM), affecting approximately 1 billion people worldwide. To enable patients at significant risk of CVRM to be treated appropriately, it is essential ...
  • 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 ...
  • AFEL-Analytics for Everyday Learning 

    d’Aquin, Mathieu; Kowald, Dominik; Fessl, Angela; Lex, Elisabeth; Thalmann, Stefan (ACM, 2018-04-23)
    The goal of AFEL is to develop, pilot and evaluate methods and applications, which advance informal/collective learning as it surfaces implicitly in online social environments. The project is following a multi-disciplinary, ...
  • AFEL: Towards measuring online activities contributions to self-directed learning 

    d’Aquin, Mathieu; Adamou, Alessandro; Dietze, Stefan; Fetahu, Besnik; Gadiraju, Ujwal; Hasani-Mavriqi, Ilire; Holtz, Peter; Kimmerle, Joachim; Kowald, Dominik; Lex, Elisabeth; López Sola, Susana; Maturana, Ricardo A.; Sabol, Vedran; Troullinou, Pinelopi; Veas, Eduardo (CEUR-WS.org, 2017-09-12)
    More and more learning activities take place online in a selfdirected manner. Therefore, just as the idea of self-tracking activities for fitness purposes has gained momentum in the past few years, tools and methods for ...
  • Analysing and improving embedded markup of learning resources on the web 

    Dietze, Stefan; Taibi, Davide; Yu, Ran; Barker, Phil; d’Aquin, Mathieu (ACM, 2017-04-03)
    Web-scale reuse and interoperability of learning resources have been major concerns for the technology-enhanced learning community. While work in this area traditionally focused on learning resource metadata, provided ...
  • Analyzing Social Behavior of Software Developers Across Different Communication Channels 

    Iqbal, Aftab (2013)
    Software developers use different project repositories (i.e., mailing list, bug tracking repositories, discussion forums etc.) to interact with each other or to solve software related problems. The growing interest in the ...
  • Asistent -- a machine translation system for Slovene, Serbian and Croatian 

    Arcan, Mihael; Popovic, Maja; Buitelaar, Paul (University of Ljubljana, 2016-09-29)
    The META-NET research on language technologies in 2012 showed a weak support on tools for crossing the language barrier for many European languages, including the south Slavic languages. Therefore, we describe a statistical ...
  • Assessing FAIR data principles against the 5-Star open data principles 

    Hasnain, Ali; Rebholz-Schuhmann, Dietrich (Springer Verlag, 2018-08-02)
    Access to biomedical data is increasingly important to enable data driven science in the research community. The Linked Open Data (LOD) principles (by Tim Berner-Lee) have been suggested to judge the quality of data by its ...
  • Automatic enrichment of terminological resources: the IATE RDF example 

    Arcan, Mihael; Montiel-Ponsoda, Elena; McCrae, John P.; Buitelaar, Paul (European Language Resources Association, 2018-05-07)
    Terminological resources have proven necessary in many organizations and institutions to ensure communication between experts. However, the maintenance of these resources is a very time-consuming and expensive process. ...
  • Automatic taxonomy generation: a use-case in the legal domain 

    Robin, Cécile; O'Neill, James; Buitelaar, Paul (LTC'17, 8th Language & Technology Conference, 2017-11-17)
    A key challenge in the legal domain is the adaptation and representation of the legal knowledge expressed through texts, in order for legal practitioners and researchers to access this information more easily and faster ...
  • Avtomatsko pridobivanje besednih zvez iz korpusa z uporabo leksikona SSJ 

    Arhar Holdt, Špela; Arcan, Mihael (Centre for Slovene as a Second and Foreign Language, Univerity of Ljubljana, 2011-11-17)
    The field of computational lexicography is an interdisciplinary field, primarily focusing on the automatisation of lexicographic procedures and the building of lexical databases of various kinds. In this paper we describe ...
  • Benchmarking Domain-Specific Expert Search Using Workshop Program Committees 

    Bordea, Georgeta; Buitelaar, Paul (ACM, 2013)
    Traditionally, relevance assessments for expert search have been gathered through self-assessment or based on the opinions of co-workers. We introduce three benchmark datasets1 for expert search that use conference workshops ...
  • Biomedical semantic resources for drug discovery platforms 

    Hasnain, Ali; Rebholz-Schuhmann, Dietrich (Springer Verlag, 2017-11-08)
    The biomedical research community is providing large-scale data sources to enable knowledge discovery from the data alone, or from novel scientific experiments in combination with the existing knowledge. Increasingly ...
  • Challenges with image event processing: Poster 

    Aslam, Asra; Hasan, Souleiman; Curry, Edward (ACM, 2017-06-19)
    There has been substantial research in the area of event processing where systems are focused on event processing of structured data. However, in the context of smart cities, signi cant number of realtime applications ...
  • Characterising and evaluating online communities from live microblogging user interactions 

    Hromic, Hugo; Hayes, Conor (NUI Galway, 2018-07-03)
    Microblogging (mainly represented by Twitter) is a type of social media that focuses on fast open real-time communication using short messages between users and their followers. This system is attractive due to its open ...
  • Classifying sentential modality in legal language: A use case in financial regulations, acts and directives 

    O'Neill, James; Buitelaar, Paul; Robin, Cécile; O'Brien, Leona (ACM, 2017-06-12)
    Texts expressed in legal language are often di cult and time consuming for lawyers to read through, particularly for the purpose of identifying relevant deontic modalities (obligations, prohibitions and permissions). ...
  • Community topic usage in social networks 

    Wood, Ian D. (ACM, 2015-10)
    When studying large social media data sets, it is useful to reduce the dimensionality of both the network (e.g. by finding communities) and user-generated data such as text (e.g. using topic models). Algorithms exist for ...
  • A comparison of emotion annotation schemes and a new annotated data set 

    Wood, Ian D.; McCrae, John P.; Andryushechkin, Vladimir; Buitelaar, Paul (European Languages Resources Association (ELRA), 2018-05-07)
    While the recognition of positive/negative sentiment in text is an established task with many standard data sets and well developed methodologies, the recognition of more nuanced affect has received less attention, and ...