Browsing Data Science Institute by Author "http://dx.doi.org/10.13039/501100007601"

Now showing items 1-20 of 49

    • 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 ...

    • 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 ...

    • 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. ...

    • Biological applications of knowledge graph embedding models 

      Mohamed, Sameh K.; Nounu, Aayah; Nováček, Vít (Oxford University Press (OUP), 2020-02-17)
      Complex biological systems are traditionally modelled as graphs of interconnected biological entities. These graphs, i.e. biological knowledge graphs, are then processed using graph exploratory approaches to perform different ...

    • Challenges of word sense alignment: Portuguese language resources 

      Salgado, Ana; Ahmadi, Sina; Simões, Alberto; McCrae, John P.; Costa, Rute (National University of Ireland Galway, 2020-05-16)
      This paper reports on an ongoing task of monolingual word sense alignment in which a comparative study between the Portuguese Academy of Sciences Dictionary and the Dicionario Aberto ´ is carried out in the context of the ...

    • A comparative study of different state-of-the-art hate speech detection methods in Hindi-English code-mixed data 

      Rani, Priya; Suryawanshi, Shardul; Goswami, Koustava; Chakravarthi, Bharathi Raja; Fransen, Theodorus; McCrae, John P. (European Language Resources Association (ELRA), 2020-05-11)
      Hate speech detection in social media communication has become one of the primary concerns to avoid conflicts and curb undesired activities. In an environment where multilingual speakers switch among multiple languages, ...

    • A comparison of emotion annotation approaches for text 

      Wood, Ian D.; McCrae, John P.; Andryushechkin, Vladimir; Buitelaar, Paul (MDPI, 2018-05-11)
      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 a more nuanced affect has received less attention: there ...

    • 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 ...

    • Corpus creation for sentiment analysis in code-mixed Tamil-English text 

      Chakravarthi, Bharathi Raja; Muralidaran, Vigneshwaran; Priyadharshini, Ruba; McCrae, John P. (European Language Resources Association (ELRA), 2020-05-11)
      Understanding the sentiment of a comment from a video or an image is an essential task in many applications. Sentiment analysis of a text can be useful for various decision-making processes. One such application is to ...

    • Creating a multilingual terminological resource using linked data:the case of archaeological domain in the Italian language 

      Carlino, Carola; Ahmadi, Sina; Speranza, Giulia (CEUR Workshop Proceedings, 2019-11-13)
      The lack of multilingual terminological resources in specialized domains constitutes an obstacle to the access and reuse of information. In the technical domain of cultural heritage and, in particular, archaeology, such ...

    • A dataset for troll classification of Tamil memes 

      Chakravarthi, Bharathi Raja; Varma, Pranav; Arcan, Mihael; McCrae, John P.; Buitelaar, Paul; Shardul, Suryawanshi (European Language Resources Association (ELRA), 2020-05-11)
      Social media are interactive platforms that facilitate the creation or sharing of information, ideas or other forms of expression among people. This exchange is not free from offensive, trolling or malicious contents ...

    • Defying Wikidata: Validation of terminological relations in the web of data 

      Martín-Chozas, Patricia; Ahmadi, Sina; Montiel-Ponsoda, Elena (National University of Ireland Galway, 2020-05-16)
      In this paper we present an approach to validate terminological data retrieved from open encyclopaedic knowledge bases. This need arises from the enrichment of automatically extracted terms with information from existing ...

    • The ELEXIS interface for interoperable lexical resources 

      McCrae, John P.; Tiberius, Carole; Khan, Anas Fahad; Kernerman, Ilan; Declerck, Thierry; Krek, Simon; Monachini, Monica; Ahmadi, Sina (eLex 2019, 2019-10-01)
      ELEXIS is a project that aims to create a European network of lexical resources, and one of the key challenges for this is the development of an interoperable interface for different lexical resources so that further ...

    • 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 ...

    • 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 ...

    • Expanding wordnets to new languages with multilingual sense disambiguation 

      Arcan, Mihael; McCrae, John P.; Buitelaar, Paul (The COLING 2016 Organizing Committee, 2016-12-11)
      Princeton WordNet is one of the most important resources for natural language processing, but is only available for English. While it has been translated using the expand approach to many other languages, this is an ...

    • Extending largeRDFBench for multi-source data at scale for SPARQL endpoint federation 

      Hasnain, Ali; Saleem, Muhammad; Ngomo, Axel-Cyrille Ngonga; Rebholz-Schuhmann, Dietrich (IOS Press, 2018)
      Querying the Web of Data is highly motivated by the use of federation approaches mainly SPARQL query federation when the data is available through endpoints. Different benchmarks have been proposed to exploit the full ...

    • Findings of the LoResMT 2020 shared task on zero-shot for low-resource languages 

      Ojha, Atul Kr.; Malykh, Valentin; Karakanta, Alina; Liu, Chao-Hong (Association for Computational Linguistics, 2020-12-04)
      This paper presents the findings of the LoResMT 2020 Shared Task on zero-shot translation for low resource languages. This task was organised as part of the 3rd Workshop on Technologies for MT of Low Resource Languages ...

    • Identifying main obstacles for statistical machine translation of morphologically rich South Slavic languages 

      Popovic, Maja; Arcan, Mihael (European Association for Machine Translation, 2015-05-11)
      The best way to improve a statistical machine translation system is to identify concrete problems causing translation errors and address them. Many of these problems are related to the characteristics of the involved ...