Now showing items 91-110 of 153

  • PandemCap: decision support tool for epidemic management 

    Yañez, Andrea; Duggan, James; Jilani, Musfira; Connolly, Maire; Hayes, Conor (NUI Galway, 2017-10-01)
    Pandemics or high impact epidemics are one of the biggest threats facing humanity today. While a complete elimination of the occurrence of such threats is improbable, it is possible to contain their impact by efficient ...
  • The path to success: A study of user behaviour and success criteria in online communities 

    Aumayr, Erik; Hayes, Conor (ACM, 2017-08-23)
    Maintaining online communities is vital in order to increase and retain their economic and social value. That is why community managers look to gauge the success of their communities by measuring a variety of user behaviour, ...
  • Path-based semantic relatedness on linked data and its use to word and entity disambiguation 

    Hulpus, Ioana; Prangnawarat, Narumol; Hayes, Conor (2015)
    Semantic relatedness and disambiguation are fundamental problems for linking text documents to the Web of Data. There are many approaches dealing with both problems but most of them rely on word or concept distribution ...
  • PE2 rr corpus: manual error annotation of automatically pre-annotated MT post-edits 

    Popovic, Maja; Arcan, Mihael (European Language Resources Association, 2016-05-23)
    We present a freely available corpus containing source language texts from different domains along with their automatically generated translations into several distinct morphologically rich languages, their post-edited ...
  • Poor man’s lemmatisation for automatic error classification 

    Popovic, Maja; Arcan, Mihael; Avramidis, Eleftherios; Burchardt, Aljoscha; Lommel, Arle (European Association for Machine Translation, 2015-04-11)
    This paper demonstrates the possibility to make an existing automatic error classifier for machine translations independent from the requirement of lemmatisation. This makes it usable also for smaller and under-resourced ...
  • Potential and limits of using post-edits as reference translations for MT evaluation 

    Popovic, Maja; Arcan, Mihael; Lommel, Arle (Vilnius University, University of Latvia, Latvia University of Agriculture, Institute of Mathematics and Informatics of University of Latvia, 2016-05-30)
    This work investigates the potential use of post-edited machine translation (MT) outputs as reference translations for automatic machine translation evaluation, focusing mainly on the following important question: Is it ...
  • Predicting citations from mainstream news, weblogs and discussion forum 

    Timilsina, Mohan; Davis, Brian; Taylor, Mike; Hayes, Conor (ACM (Association for Computing Machinery), 2017-08-23)
    The growth in the alternative digital publishing is widening the breadth of scholarly impact beyond the conventional bibliometric community. Thus, research is becoming more reachable both inside and outside of academic ...
  • Propagating data policies: a user study 

    Daga, Enrico; d’Aquin, Mathieu; Motta, Enrico (ACM, 2017-11-04)
    When publishing data, data licences are used to specify the actions that are permitted or prohibited, and the duties that target data consumers must comply with. However, in complex environments such as a smart city ...
  • Querying Phenotype-Genotype Associations across Multiple Knowledge Bases using Semantic Web Technologies 

    Iqbal, Aftab (2013)
    Biomedical and genomic data are inherently heterogeneous and their recent proliferation over the Web has demanded innovative querying methods to help domain experts in their clinical and research studies. In this paper we ...
  • Querying web polystores 

    Khan, Ya; Zimmermann, Antoine; Jha, AlokKumar; Rebholz-Schuhmann, Dietrich; Sahay, Ratnesh (IEEE, 2017-12-11)
    The database, semantic web, and linked data communities have proposed solutions that federate queries over multiple data sources using a single data model. Nowadays, the data retrieval requirements originating from versatile ...
  • Random Indexing Explained with High Probability 

    QasemiZadeh, Behrang (2015)
    Random indexing (RI) is an incremental method for constructing a vector space model (VSM) with a reduced dimensionality. Previously, the method has been justified using the mathematical framework of Kanerva's sparse ...
  • Random indexing revisited 

    QasemiZadeh, Behrang (Springer, 2015-05-17)
    Random indexing is a method for constructing vector spaces at a reduced dimensionality. Previously, the method has been proposed using Kanerva's sparse distributed memory model. Although intuitively plausible, this ...
  • Random Manhattan Indexing 

    QasemiZadeh, Behrang; Handschuh, Siegfried (2014)
    Vector space models (VSMs) are mathematically well-defined frameworks that have been widely used in text processing. In these models, high-dimensional, often sparse vectors represent text units. In an application, the ...
  • 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 ...
  • Re-coding Black Mirror Chairs' Welcome & Organization 

    Troullinou, Pinelopi; d’Aquin, Mathieu; Tiddi, Ilaria (ACM, 2018-04-23)
    This volume of proceedings presents the papers from the 2nd edition of the interdisciplinary workshop Re-coding Black Mirror, held on April 24, 2018 in Lyon, France and co-located with The WEB Conference (WWW2018). ...
  • Regularizing knowledge graph embeddings via equivalence and inversion axioms 

    Minervini, Pasquale; Costabello, Luca; Muñoz, Emir; Nováček, Vít; Vandenbussche, Pierre-Yves (Springer Verlag, 2017-12-30)
    Learning embeddings of entities and relations using neural architectures is an effective method of performing statistical learning on large-scale relational data, such as knowledge graphs. In this paper, we consider the ...
  • Rewriting simplified text into a controlled natural language 

    Safwat, Hazem; Zarrouk, Manel; Davis, Brian (IOS Press, 2018-08-27)
    While machine processable Controlled Natural Languages (CNLs) as a natural language interface have proven a popular, unambiguous and user friendly method for non experts to engineer formal knowledge-bases, human-oriented ...
  • A Roadmap for navigating the Life Sciences Linked Open Data Cloud 

    Hasnain, Ali; Sana e Zainab, Syeda; Kamdar, Maulik; Mehmood, Qaiser; Deus, Helena; Mehdi, Muntazir; Decker, Stefan (2014)
    Multiple datasets that add high value to biomedical research have been exposed on the web as a part of the Life Sciences Linked Open Data (LSLOD) Cloud. The ability to easily navigate through these datasets is crucial for ...