Now showing items 16-35 of 153

  • 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 ...
  • A comparison of statistical and neural machine translation for Slovene, Serbian and Croatian 

    Arcan, Mihael (Language Technologies and Digital Humanities 2018, 2018-09-20)
    In this paper we present a comparison of translation quality using of Statistical Machine Translation (SMT) and Neural Machine Translation (NMT), considering translation directions between English, Slovene, Serbian and ...
  • DAW: Duplicate-AWare Federated Query Processing over the Web of Data 

    Parreira, Josiane Xavier; Deus, Helena F.; Hauswirth, Manfred (Springer, 2013)
    Over the last years the Web of Data has developed into a large compendium of interlinked data sets from multiple domains. Due to the decentralised architecture of this compendium, several of these datasets contain duplicated ...
  • Deep convolution neural network model to predict relapse in breast cancer 

    Jha, Alokkumar; Verma, Ghanshyam; Khan, Yasar; Mehmood, Qaiser; Rebholz-Schuhmann, Dietrich; Sahay, Ratnesh (IEEE, 2018-12-17)
    A mishap in anti-cancer drug distribution is critical in breast cancer patients due to poor prediction model to identify the treatment regime in ER+ve and ER-ve (Estrogen Receptor (ER)) patients. The traditional method for ...
  • A deep learning approach to genomics data for population scale clustering and ethnicity prediction 

    Karim, Md. Rezaul; Zappa, Achille; Sahay, Ratnesh; Rebholz-Schuhmann, Dietrich (CEUR-WS.org, 2017-05-28)
    The understanding of variations in genome sequences assists us in identifying people who are predisposed to common diseases, solving rare diseases, and finding corresponding population group of the individuals from a ...
  • Demonstrating a linked data platform for finite element biosimulations of cochlear mechanics 

    Mehdi, Muntazir; Khan, Yasar; Freitas, Andre; Jares, Joao; Hasapis, Panagiotis; Sahay, Ratnesh (CEUR-WS.org, 2015-10-11)
    Biosimulations employ Finite Element Method (FEM) to simulate complex biological systems in order to understand different aspects of human organs. The applications of FEM biosimulations range from human ear cochlear mechanics, ...
  • Demonstrating a linked data visualiser for finite element biosimulations 

    Mehdi, Muntazir; Khan, Yasar; Freitas, Andre; Jares, Joao; Raza, Saleem; Hasapis, Panagiotis; Sahay, Ratnesh (IEEE, 2016-02-04)
    Healthcare experts have recently turned towards the use of Biosimulation models to understand the multiple or different causative factors that cause impairment in human organs. The applications of biosimulations have been ...
  • Detecting inner-ear anatomical and clinical datasets in the linked open data (LOD) cloud 

    Mehdi, Muntazir; Iqbal, Aftab; Khan, Yasar; Decker, Stefan; Sahay, Ratnesh (CEUR-WS.org, 2015-10-15)
    Linked Open Data (LOD) Cloud is a mesh of open datasets coming from different domains. Among these datasets, a notable amount of datasets belong to the life sciences domain linked together forming an interlinked “Life ...
  • 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 ...
  • Domain-independent term extraction through domain modelling 

    Bordea, Georgeta; Buitelaar, Paul; Polajnar, Tamara (10th International Conference on Terminology and Artificial Intelligence, 2013-09-11)
    Extracting general or intermediate level terms is a relevant problem that has not received much attention in literature. Current approaches for term extraction rely on contrastive corpora to identify domain-specific terms, ...
  • Engineering an aligned gold-standard corpus of human to machine oriented Controlled Natural Language 

    Hazem Safwat; Brian Davis; Manel Zarrouk (IEEE, 2018-12-03)
    Knowledge base creation and population are an essential formal backbone for a variety of intelligent applications, decision support and expert systems and intelligent search. While the abundance of unstructured text helps ...
  • Enhancing statistical machine translation with bilingual terminology in a CAT environment 

    Arcan, Mihael; Turchi, Marco; Tonelli, Sara; Buitelaar, Paul (Association for Machine Translation in the Americas, 2014-10-22)
    In this paper, we address the problem of extracting and integrating bilingual terminology into a Statistical Machine Translation (SMT) system for a Computer Aided Translation (CAT) tool scenario. We develop a framework ...
  • Entity Linking with Multiple Knowledge Bases: An Ontology Modularization Approach 

    Pereira, Bianca (Springer, 2014-10-19)
    The recognition of entities in text is the basis for a series of applications. Synonymy and Ambiguity are among the biggest challenges in identifying such entities. Both challenges are addressed by Entity Linking, the task ...
  • The ESSOT system goes wild: an easy way for translating ontologies 

    Arcan, Mihael; Dragoni, Mauro; Buitelaar, Paul (CEUR-WS.org, 2016-10-17)
    To enable knowledge access across languages, ontologies that are often represented only in English, need to be translated into different languages. This activity is time consuming, therefore, smart solutions are required ...
  • ESSOT: an expert supporting system for ontology translation 

    Arcan, Mihael; Dragoni, Mauro; Buitelaar, Paul (Springer Verlag, 2016)
    To enable knowledge access across languages, ontologies, mostly represented only in English, need to be translated into different languages. The main challenge in translating ontologies with machine translation is to ...
  • Event Analysis in Social Media Using Clustering of Heterogeneous Information Networks 

    Prangnawarat, Narumol; Hulpus, Ioana; Hayes, Conor (The 28th International FLAIRS Conference (AAAI Publications) (AAAI), 2015)
    In this paper, we propose a novel approach for social media event finding in order to support fast access to information that users find relevant. While there are many approaches related to this problem, they mainly focus ...