Now showing items 247-266 of 307

    • Smart speaker design and implementation with biometric authentication and advanced voice interaction capability 

      Sudharsan, Bharath; Corcoran, Peter; Ali, Muhammad Intizar (CEUR-WS.org, 2019-12-05)
      Advancements in semiconductor technology have reduced dimensions and cost while improving the performance and capacity of chipsets. In addition, advancement in the AI frameworks and libraries brings possibilities to ...
    • 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 ...
    • SPARQL Web-Querying Infrastructure: Ready for Action? 

      Hogan, Aidan (2013)
      Hundreds of public SPARQL endpoints have been deployed on the Web, forming a novel decentralised infrastructure for querying billions of structured facts from a variety of sources on a plethora of topics. But is this ...
    • SPARQL++ for mapping between RDF vocabularies 

      Polleres, Axel (Springer, 2007)
      Lightweight ontologies in the formof RDF vocabularies such as SIOC, FOAF, vCard, etc. are increasingly being used and exported by ¿serious¿ applications recently. Such vocabularies, together with query languages like SPARQL ...
    • SPORTAL: Searching for Public SPARQL Endpoints 

      Hasnain, Ali; Mehmood, Qaiser; Zainab, Syeda Sana e; Hogan, Aidan (NUI Galway, 2016-10)
      There are hundreds of SPARQL endpoints on the Web, but finding an endpoint relevant to a client s needs is difficult: each endpoint acts like a black box, often without a description of its content. Herein we briefly ...
    • An SRAM optimized approach for constant memory consumption and ultra-fast execution of ML classifiers on TinyML hardware 

      Sudharsan, Bharath; Yadav, Piyush; Breslin, John G.; Ali, Muhammad Intizar (Institute of Electrical and Electronics Engineers, 2021-11-15)
      With the introduction of ultra-low-power machine learning (TinyML), IoT devices are becoming smarter as they are driven by Machine Learning (ML) models. However, any increase in the training data results in a linear ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • 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 ...
    • Towards a Linked Geospatial Data Infrastructure 

      Abbas, Sonya; Ojo, Adegboyega (2013)
      The pressure of opening access to public sector geospatial information traditionally managed within disparate spatial data infrastructures (SDI) is driven by a combination of factors. These factors include the adoption ...