Now showing items 21-35 of 35

    • 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 ...
    • SALT: Enriching LATEX with Semantic Annotations 

      Groza, Tudor; Kim, Hak Lae; Handschuh, Siegfried (2006)
      With the emergence of the SemanticWeb, encapsulating annotations and metadata into scientific documents became a widely used practice. But in the same time, we observed the lack of well established standard tools supporting ...
    • SALT: Semantically Annotated LATEX 

      Groza, Tudor; Handschuh, Siegfried; Kim, Hak Lae (2006)
      Machine-understandable data constitutes the basis for the Semantic Desktop. We provide in this paper means to author and annotate Semantic Documents on the Desktop. In our approach, the PDF file format is the basis for ...
    • 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, ...
    • Semantic Versioning Manager: Integrating SemVersion in Protégé 

      Groza, Tudor; Handschuh, Siegfried (2006)
      Knowledge domains and their semantic representations via ontologies are typically subject to change in practical applications. Additionally, engineering of ontologies often takes place in distributed settings where multiple ...
    • Semantically Enhanced Passage Retrieval for Business Analysis Activity 

      Thai, VinhTuan; Davis, Brian; O'Riain, Sean; O'Sullivan, David; Handschuh, Siegfried (2008)
      Business analysis activity often involves the identification and extraction of information from business reports. The unstructured content of business reports poses a challenge to current Business Intelligence technologies. ...
    • SemEval-2017 Task 5: Fine-grained sentiment analysis on financial microblogs and news 

      Cortis, Keith; Freitas, André; Daudert, Tobias; Huerlimann, Manuela; Zarrouk, Manel; Handschuh, Siegfried; Davis, Brian (Association for Computational Linguistics, 2017-08-03)
      This paper discusses the “Fine-Grained Sentiment Analysis on Financial Microblogs and News” task as part of SemEval-2017, specifically under the “Detecting sentiment, humour, and truth” theme. This task contains two ...
    • Semi-automatic Integration of Learned Ontologies into a Collaborative Framework 

      Nováček, Vít; Handschuh, Siegfried (2007)
      The paper presents a novel ontology lifecycle scenario that explicitly takes the dynamics and data-intensiveness of real world applications into account. Changing and growing knowledge is handled by semi-automatic ...
    • SemR-11: a multi-lingual gold-standard for semantic similarity and relatedness for eleven languages 

      Barzegar, Siamak; Davis, Brian; Zarrouk, Manel; Handschuh, Siegfried; Freitas, André (European Language Resources Association, 2018-05-07)
      This work describes SemR-11, a multi-lingual dataset for evaluating semantic similarity and relatedness for 11 languages (German, French, Russian, Italian, Dutch, Chinese, Portuguese, Swedish, Spanish, Arabic and Persian). ...
    • Social sentiment indices powered by X-scores 

      Davis, Brian; Cortis, Keith; Vasiliu, Laurentiu; Koumpis, Adamantios; McDermott, Ross; Handschuh, Siegfried (INSIGHT Centre for Data Analytics, NUI Galway, Ireland, 2016-05)
      Social Sentiment Indices powered by X-Scores (SSIX) seeks to address the challenge of extracting relevant and valuable economic signals in a cross-lingual fashion from the vast variety of and increasingly influential social ...
    • SVM: Semantic Versioning Manager 

      Groza, Tudor; Handschuh, Siegfried (2006)
      Knowledge domains and their semantic representations via ontologies are typically subject to change in practical applications. There- fore, especially in distributed environments, change management for ontologies becomes ...
    • 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 ...
    • Visual Abstraction and Ordering in Faceted Browsing of Text Collections 

      Thai, VinhTuan; Handschuh, Siegfried (2010)
      While faceted navigation interfaces can assist users in exploring an information collection, there is yet little support for users in choosing a relevant item from the set of items returned from a filtering process. In ...
    • WWW'18 open challenge: financial opinion mining and question answering 

      Maia, Macedo; Handschuh, Siegfried; Freitas, André; Davis, Brian; McDermott, Ross; Zarrouk, Manel; Balahur, Alexandra (Association for Computing Machinery, 2018-04-23)
      The growing maturity of Natural Language Processing (NLP) techniques and resources is dramatically changing the landscape of many application domains which are dependent on the analysis of unstructured data at scale. The ...