Browsing Data Science Institute by Title

Now showing items 438-457 of 544

    • The SSIX corpora: three gold standard corpora for sentiment analysis in English, Spanish and German financial microblogs 

      Gaillat, Thomas; Zarrouk, Manel; Freitas, André; Davis, Brian (European Language Resources Association, 2018-05-07)
      This paper introduces the three SSIX corpora for sentiment analysis. These corpora address the need to provide annotated data for supervised learning methods. They focus on stock-market related messages extracted from two ...

    • Stream Data Gathering in Wireless Sensor Networks Within Expected Lifetime 

      Shu, Lei; Zhou, ZhangBing; Aguilar, Antonio; Hauswirth, Manfred (2007)

    • Structuring e-Participation Perspectives Mapping and Aligning Models to Core Facets 

      Porwol, Lukasz; Ojo, Adegboyega; Breslin, John (2013)
      A proliferation of e-participation research in recent years has produced fragmented contributions in the area of e-participation models. Without a mechanism for analyzing, relating and consolidating these models, further ...

    • A survey of current datasets for code-switching research 

      Jose, Navya; Chakravarthi, Bharathi Raja; Suryawanshi, Shardul; Sherly, Elizabeth; McCrae, John P. (IEEE, 2020-03-06)
      Code switching is a prevalent phenomenon in the multilingual community and social media interaction. In the past ten years, we have witnessed an explosion of code switched data in the social media that brings together ...

    • 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 ...

    • SWSE: Answers Before Links! 

      Harth, Andreas; Hogan, Aidan; Delbru, Renaud; Umbrich, Jürgen; O'Riain, Sean; Decker, Stefan (CEUR-WS.org, 2007)
      We present a system that improves on current document- centric Web search engine technology; adopting an entity-centric perspective, we are able to integrate data from both static and live sources into a coherent, interlinked ...

    • SWSE: Objects before documents! 

      Harth, Andreas; Hogan, Aidan; Umbrich, Jürgen; Decker, Stefan (2008)
      Web search engines are immensely useful for locating documents online. However, with more and more structured data being published online, the restriction to the hyperdocument model impairs the usefulness for searching and ...

    • Synergy between embedding and protein functional association networks for drug label prediction using harmonic function 

      Timilsina, Mohan; Mc Kernan, Declan Patrick; Yang, Haixuan; d’Aquin, Mathieu (ACM and IEEE, 2020-10-16)
      Semi-Supervised Learning (SSL) is an approach to machine learning that makes use of unlabeled data for training with a small amount of labeled data. In the context of molecular biology and pharmacology, one can take advantage ...

    • Targeting online communities to maximise information diffusion 

      Belák, Václav; Lam, Samantha; Hayes, Conor (Association for Computing Machinery, 2012-04)
      In recent years, many companies have started to utilise online social communities as a means of communicating with and targeting their employees and customers. Such online communities include discussion fora which are ...

    • Taxonomy extraction for customer service knowledge base construction 

      Pereira, Bianca; Robin, Cécile; Daudert, Tobias; McCrae, John P.; Mohanty, Pranab; Buitelaar, Paul (Springer, 2019-11-04)
      Customer service agents play an important role in bridging the gap between customers vocabulary and business terms. In a scenario where organisations are moving into semi-automatic customer service, se- mantic technologies ...

    • Teanga: a linked data based platform for natural language processing 

      Ziad, Housam; McCrae, John Philip; Buitelaar, Paul (Language Resources and Evaluation Conference (LREC 2018), 2018-05-07)
      In this paper, we describe Teanga, a linked data based platform for natural language processing (NLP). Teanga enables the use of many NLP services from a single interface, whether the need was to use a single service or ...

    • TED-MWE: a bilingual parallel corpus with MWE annotation: Towards a methodology for annotating MWEs in parallel multilingual corpora 

      Monti, Johanna; Sangati, Federico; Arcan, Mihael (Accademia University Press, 2015-12-03)
      The translation of Multiword expressions (MWE) by Machine Translation (MT) represents a big challenge, and although MT has considerably improved in recent years, MWE mistranslations still occur very frequently. There is ...

    • Tell me who are your friends, and I’ll tell you who you are 

      Torres-Tramón, Pablo; Hayes, Conor (AICS 2016, 2016-09-20)
      Mentions of politicians in news articles can reflect politician interactions on their daily activities. In this work, we present a mathematical model to represent such interactions as a graph, and we use it to predict the ...

    • A term extraction approach to survey analysis in health care 

      Robin, Cécile; Isazad Mashinchi, Mona; Ahmadi Zeleti, Fatemeh; Ojo, Adegboyega; Buitelaar, Paul (European Language Resources Association, 2020-05)
      The voice of the customer has for a long time been a key focus of businesses in all domains. It has received a lot of attention from the research community in Natural Language Processing (NLP) resulting in many approaches ...

    • Thematic Event Processing 

      Hasan, Souleiman; Curry, Edward (ACM, 2014-12-08)
      Event-based systems follow a decoupled mode of interaction between event producers and consumers in space, time, and synchronization to enable scalability within distributed systems. We recognize a fourth dimension of ...

    • TIAD 2019 Shared Task: Leveraging knowledge graphs with neural machine translation for automatic multilingual dictionary generation 

      Torregrosa, Daniel; Arcan, Mihael; Ahmadi, Sina; McCrae, John P. (National University of Ireland, Galway, 2019-04-20)
      This paper describes the different proposed approaches to the TIAD 2019 Shared Task, which consisted in the automatic discovery and generation of dictionaries leveraging multilingual knowledge bases. We present three methods ...

    • TinyML benchmark: Executing fully connected neural networks on commodity microcontrollers 

      Sudharsan, Bharath; Salerno, Simone; Nguyen, Duc-Duy; Yahya, Muhammad; Wahid, Abdul; Yadav, Piyush; Breslin, John G. (National University of Ireland Galway, 2021-06-20)
      Recent advancements in the field of ultra-low-power machine learning (TinyML) promises to unlock an entirely new class of edge applications. However, continued progress is restrained by the lack of benchmarking Machine ...

    • TopFed: TCGA tailored federated query processing and linking to LOD 

      Padmanabhuni, Shanmukha S.; Iqbal, Aftab; Decker, Stefan (BioMed Central, 2014-12-03)
      Backgroud: The Cancer Genome Atlas (TCGA) is a multidisciplinary, multi-institutional effort to catalogue genetic mutations responsible for cancer using genome analysis techniques. One of the aims of this project is to ...

    • Toward distributed, global, deep learning using IoT devices 

      Sudharsan, Bharath; Patel, Pankesh; Breslin, John; Ali, Muhammad Intizar; Mitra, Karan; Dustdar, Schahram; Rana, Omer; Jayaraman, Prem Prakash; Ranjan, Rajiv (Institute of Electrical and Electronics Engineers (IEEE), 2021-07-20)
      Deep learning (DL) using large scale, high-quality IoT datasets can be computationally expensive. Utilizing such datasets to produce a problem-solving model within a reasonable time frame requires a scalable distributed ...

    • Towards a crowd-sourced WordNet for colloquial English 

      McCrae, John P.; Wood, Ian D.; Hicks, Amanda (The Global WordNet Association, 2018-01-08)
      Princeton WordNet is one of the most widely-used resources for natural language processing, but is updated only infrequently and cannot keep up with the fast-changing usage of the English language on social media ...