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  • Open Access English
    Authors: 
    Helmer, Sven; Ngo, Vuong M.;
    Publisher: ACM
    Country: Ireland

    The 38th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '15), Santiago, Chile, 9-13 August 2015 We propose a novel approach for measuring the similarity between weaving patterns that can provide similarity-based search functionality for textile archives. We represent textile structures using hypergraphs and extract multisets of $k$-neighborhoods from these graphs. The resulting multisets are then compared using Jaccard coefficients, Hamming distances, and cosine measures. We evaluate the different variants of our similarity measure experimentally, showing that it can be implemented efficiently and illustrating its quality using it to cluster and query a data set containing more than a thousand textile samples.

  • Open Access English
    Authors: 
    Leavy, Susan; Meaney, Gerardine; Wade, Karen; Greene, Derek;
    Publisher: Springer
    Country: Ireland

    International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020), Lisbon, Portugal (held online due to coronavirus outbreak) 14 April 2020 Algorithmic bias has the capacity to amplify and perpetuate societal bias, and presents profound ethical implications for society. Gender bias in algorithms has been identified in the context of employment advertising and recruitment tools, due to their reliance on underlying language processing and recommendation algorithms. Attempts to address such issues have involved testing learned associations, integrating concepts of fairness to machine learning, and performing more rigorous analysis of training data. Mitigating bias when algorithms are trained on textual data is particularly challenging given the complex way gender ideology is embedded in language. This paper proposes a framework for the identification of gender bias in training data for machine learning. The work draws upon gender theory and sociolinguistics to systematically indicate levels of bias in textual training data and associated neural word embedding models, thus highlighting pathways for both removing bias from training data and critically assessing its impact in the context of search and recommender systems. Irish Research Council Science Foundation Ireland

  • Open Access English
    Authors: 
    De Marco, Lucia; Ferucci, Filomena; Kechadi, Tahar; et al.;
    Publisher: SCITEPRESS – Science and Technology Publications
    Country: Ireland

    6th International Conference on Cloud Computing and Services Science, Rome, Italy, 23-25 April 2016 Information systems and computing capabilities are delivered through the Internet in the form of services; they are regulated by a Service Level Agreement (SLA) contract co-signed by a generic Application Service Provider (ASP) and the end user(s), as happens for instance in the cloud. In such a type of contract several clauses are established; they concern the level of the services to guarantee, also known as quality of service (QoS) parameters, and the penalties to apply in case the requirements are not met during the SLA validity time, among others. SLA contracts use legal jargon, indeed they have legal validity in case of court litigation between the parties. A dedicated contract management facility should be part of the service provisioning because of the contractual importance and contents. Some work in literature about these facilities rely on a structured language representation of SLAs in order to make them machine-readable. The majority of these languages are the result of private stipulation between private industries and not available for public services where SLAs are expressed in common natural language instead. In order to automate the SLAs management, the first step is to recognise the documents. In this paper an investigation towards SLAs text recognition is presented; the proposal is driven by an analysis of the contractual contents necessary to be automatically extracted in order to facilitate possible criminal investigations.

  • Other research product . Other ORP type . 2013
    Open Access English
    Authors: 
    Institute, Marine;
    Publisher: Marine Institute
    Country: Ireland

    The aim of the lesson is to introduce students to an Irish marine historical personality called John Phillip Holland, who was responsible for influencing the design of submarines. By designing their own DIY submarine, students will also learn about boats that can sink and float. Funder: Marine Institute

  • Other research product . 2011
    Open Access English
    Publisher: Glucksman Library, University of Limerick
    Country: Ireland

    Featuring the many castles of Limerick and County.

  • Other research product . Other ORP type . 2017
    Open Access English
    Authors: 
    Commins, Adèle; Kearney, Daithi;
    Publisher: Dundalk Institute of Technology
    Country: Ireland

    A collection of tunes in the Irish traditional idiom composed by Adèle Commins and Daithí Kearney.

  • Other research product . 2013
    Open Access English
    Authors: 
    Dong, Ruihai; Schaal, Markus; O'Mahony, Michael P.; Smyth, Barry;
    Country: Ireland

    21st International Conference (ICCBR 2013) Saratoga Springs, New York, USA, 8 - 11 July, 2013 Case-based reasoning (CBR) attempts to reuse past experiences to solve new problems. CBR ideas are commonplace in recommendation systems, which rely on the similarity between product queries and a case base of product cases. But, the relationship between CBR and many of these recommenders can be tenuous: the idea that product cases made up of static meta-data type features are experiential is a stretch; unless one views the type of case descriptions used by collaborative filtering (user ratings across products) as experiential. Here we explore and evaluate how to automatically generate product cases from user-generated reviews to produce cases that are based on genuine user experiences for use in a case-based product recommendation system. Science Foundation Ireland

  • Open Access English
    Authors: 
    Silva, Vivian S.; Hürliman, Manuela; Davis, Brian; Handschuh, Siegfried; Freitas, André;
    Publisher: Association for Computational Linguistics
    Country: Ireland

    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 relation classification concentrates on relations which are evaluated over open-domain data. This work provides a critique on the set of abstract relations used for semantic relation classification with regard to their ability to express relationships between terms which are found in a domain-specific corpora. Based on this analysis, this work proposes an alternative semantic relation model based on reusing and extending the set of abstract relations present in the DOLCE ontology. The resulting set of relations is well grounded, allows to capture a wide range of relations and could thus be used as a foundation for automatic classification of semantic relations. This work is in part funded by the SSIX Horizon 2020 project (grant agreement No 645425). Vivian S. Silva is a CNPq Fellow – Brazil. peer-reviewed

  • Open Access English
    Authors: 
    Wallace, Duncan; Kechadi, Tahar;
    Publisher: IADIS
    Country: Ireland

    The 9th International Conference on e-Health, Lisbon, Portugal, 20-22 July 2017 Recent years have seen the rapid increase in digitised medical information. In particular, the massive expansion of Electronic Health Records (EHRs), which are designed to document all information that is clinically relevant in a patient's use of a healthcare facility, has introduced unprecedented volumes of relatively unstructured data. This paper intends to determine the extent to which knowledge discovery in relation to both abbreviations and acronyms within heterogeneous data can be achieved. Heterogeneous data such as the narrative-based free-text notes found within patients' EHRs may use inconsistent ways to indicate contractions within the text and may use non-standard definitions for both abbreviations and acronyms. We approached this task through the retrieval and classification of contractions as well as using a novel method of combining multiple publically available repositories. In order to provide better coverage of abbreviations, and also to address the issue of neologisms in general, word embeddings were applied to find semantically similar lexemes. Science Foundation Ireland Carlow Emergency Doctors On Call – CAREDOC

  • Open Access English
    Authors: 
    University of Limerick History Society;
    Publisher: University of Limerick History Society
    Country: Ireland

    peer-reviewed The quality and diversity of the contributions to volume seven of History Studies is indicative of the niche which the journal has established in the field of academic publishing as the sole post-graduate produced history periodical in Ireland. The broad compass of historical research being conducted at undergraduate, post-graduate and post-doctoral levels is reflected in the content of this volume. Last year, volume six marked a new and highly successful departure for History Studies with the introduction of a book review section and the establishment of an annual forum. This edition consolidates these developments as well as expanding the scope of the journal to incorporate an archival profile of Special Collections at the University of Limerick. It is envisaged that this will become a standard feature of future editions. The History Studies forum has taken its lead from progressive independent initiatives such as the annual Irish History Students' Association Conference and the Irish Historical Society post graduate seminar, which provide a medium for postgraduate interaction. A series of student-led collaborative inter-university conferences have also proved to be successful in establishing research links and awareness between post-graduate students. On the publishing front, History Studies is among the leading Irish outlets for post-graduate research. While the two volumes of the Irish History Students' Association Research Yearbook that appeared in 2002 and 2003 were landmark publications for Irish post-graduate research. they failed to fill the void left by the demise of their predecessor Retrospect. The momentum generated was not maintained. The full potential of the Irish History Students' Association has not been realised due to a lack of dedication from the majority of the post-graduate research community. The commitment of the Irish Historical Society to research students has resulted in projects like the online post-graduate register and database of Irish history theses. In this fashion. the Irish Historical Society has embraced the possibilities offered by online technology to create a closer community of historical scholars. It is now incumbent upon the post-graduate community to establish a more vibrant and active research network Jennifer Moore John O'Callaghan Conor Reidy

Advanced search in
Research products
arrow_drop_down
Searching FieldsTerms
Any field
arrow_drop_down
includes
arrow_drop_down
Include:
53 Research products, page 1 of 6
  • Open Access English
    Authors: 
    Helmer, Sven; Ngo, Vuong M.;
    Publisher: ACM
    Country: Ireland

    The 38th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '15), Santiago, Chile, 9-13 August 2015 We propose a novel approach for measuring the similarity between weaving patterns that can provide similarity-based search functionality for textile archives. We represent textile structures using hypergraphs and extract multisets of $k$-neighborhoods from these graphs. The resulting multisets are then compared using Jaccard coefficients, Hamming distances, and cosine measures. We evaluate the different variants of our similarity measure experimentally, showing that it can be implemented efficiently and illustrating its quality using it to cluster and query a data set containing more than a thousand textile samples.

  • Open Access English
    Authors: 
    Leavy, Susan; Meaney, Gerardine; Wade, Karen; Greene, Derek;
    Publisher: Springer
    Country: Ireland

    International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020), Lisbon, Portugal (held online due to coronavirus outbreak) 14 April 2020 Algorithmic bias has the capacity to amplify and perpetuate societal bias, and presents profound ethical implications for society. Gender bias in algorithms has been identified in the context of employment advertising and recruitment tools, due to their reliance on underlying language processing and recommendation algorithms. Attempts to address such issues have involved testing learned associations, integrating concepts of fairness to machine learning, and performing more rigorous analysis of training data. Mitigating bias when algorithms are trained on textual data is particularly challenging given the complex way gender ideology is embedded in language. This paper proposes a framework for the identification of gender bias in training data for machine learning. The work draws upon gender theory and sociolinguistics to systematically indicate levels of bias in textual training data and associated neural word embedding models, thus highlighting pathways for both removing bias from training data and critically assessing its impact in the context of search and recommender systems. Irish Research Council Science Foundation Ireland

  • Open Access English
    Authors: 
    De Marco, Lucia; Ferucci, Filomena; Kechadi, Tahar; et al.;
    Publisher: SCITEPRESS – Science and Technology Publications
    Country: Ireland

    6th International Conference on Cloud Computing and Services Science, Rome, Italy, 23-25 April 2016 Information systems and computing capabilities are delivered through the Internet in the form of services; they are regulated by a Service Level Agreement (SLA) contract co-signed by a generic Application Service Provider (ASP) and the end user(s), as happens for instance in the cloud. In such a type of contract several clauses are established; they concern the level of the services to guarantee, also known as quality of service (QoS) parameters, and the penalties to apply in case the requirements are not met during the SLA validity time, among others. SLA contracts use legal jargon, indeed they have legal validity in case of court litigation between the parties. A dedicated contract management facility should be part of the service provisioning because of the contractual importance and contents. Some work in literature about these facilities rely on a structured language representation of SLAs in order to make them machine-readable. The majority of these languages are the result of private stipulation between private industries and not available for public services where SLAs are expressed in common natural language instead. In order to automate the SLAs management, the first step is to recognise the documents. In this paper an investigation towards SLAs text recognition is presented; the proposal is driven by an analysis of the contractual contents necessary to be automatically extracted in order to facilitate possible criminal investigations.

  • Other research product . Other ORP type . 2013
    Open Access English
    Authors: 
    Institute, Marine;
    Publisher: Marine Institute
    Country: Ireland

    The aim of the lesson is to introduce students to an Irish marine historical personality called John Phillip Holland, who was responsible for influencing the design of submarines. By designing their own DIY submarine, students will also learn about boats that can sink and float. Funder: Marine Institute

  • Other research product . 2011
    Open Access English
    Publisher: Glucksman Library, University of Limerick
    Country: Ireland

    Featuring the many castles of Limerick and County.

  • Other research product . Other ORP type . 2017
    Open Access English
    Authors: 
    Commins, Adèle; Kearney, Daithi;
    Publisher: Dundalk Institute of Technology
    Country: Ireland

    A collection of tunes in the Irish traditional idiom composed by Adèle Commins and Daithí Kearney.

  • Other research product . 2013
    Open Access English
    Authors: 
    Dong, Ruihai; Schaal, Markus; O'Mahony, Michael P.; Smyth, Barry;
    Country: Ireland

    21st International Conference (ICCBR 2013) Saratoga Springs, New York, USA, 8 - 11 July, 2013 Case-based reasoning (CBR) attempts to reuse past experiences to solve new problems. CBR ideas are commonplace in recommendation systems, which rely on the similarity between product queries and a case base of product cases. But, the relationship between CBR and many of these recommenders can be tenuous: the idea that product cases made up of static meta-data type features are experiential is a stretch; unless one views the type of case descriptions used by collaborative filtering (user ratings across products) as experiential. Here we explore and evaluate how to automatically generate product cases from user-generated reviews to produce cases that are based on genuine user experiences for use in a case-based product recommendation system. Science Foundation Ireland

  • Open Access English
    Authors: 
    Silva, Vivian S.; Hürliman, Manuela; Davis, Brian; Handschuh, Siegfried; Freitas, André;
    Publisher: Association for Computational Linguistics
    Country: Ireland

    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 relation classification concentrates on relations which are evaluated over open-domain data. This work provides a critique on the set of abstract relations used for semantic relation classification with regard to their ability to express relationships between terms which are found in a domain-specific corpora. Based on this analysis, this work proposes an alternative semantic relation model based on reusing and extending the set of abstract relations present in the DOLCE ontology. The resulting set of relations is well grounded, allows to capture a wide range of relations and could thus be used as a foundation for automatic classification of semantic relations. This work is in part funded by the SSIX Horizon 2020 project (grant agreement No 645425). Vivian S. Silva is a CNPq Fellow – Brazil. peer-reviewed

  • Open Access English
    Authors: 
    Wallace, Duncan; Kechadi, Tahar;
    Publisher: IADIS
    Country: Ireland

    The 9th International Conference on e-Health, Lisbon, Portugal, 20-22 July 2017 Recent years have seen the rapid increase in digitised medical information. In particular, the massive expansion of Electronic Health Records (EHRs), which are designed to document all information that is clinically relevant in a patient's use of a healthcare facility, has introduced unprecedented volumes of relatively unstructured data. This paper intends to determine the extent to which knowledge discovery in relation to both abbreviations and acronyms within heterogeneous data can be achieved. Heterogeneous data such as the narrative-based free-text notes found within patients' EHRs may use inconsistent ways to indicate contractions within the text and may use non-standard definitions for both abbreviations and acronyms. We approached this task through the retrieval and classification of contractions as well as using a novel method of combining multiple publically available repositories. In order to provide better coverage of abbreviations, and also to address the issue of neologisms in general, word embeddings were applied to find semantically similar lexemes. Science Foundation Ireland Carlow Emergency Doctors On Call – CAREDOC

  • Open Access English
    Authors: 
    University of Limerick History Society;
    Publisher: University of Limerick History Society
    Country: Ireland

    peer-reviewed The quality and diversity of the contributions to volume seven of History Studies is indicative of the niche which the journal has established in the field of academic publishing as the sole post-graduate produced history periodical in Ireland. The broad compass of historical research being conducted at undergraduate, post-graduate and post-doctoral levels is reflected in the content of this volume. Last year, volume six marked a new and highly successful departure for History Studies with the introduction of a book review section and the establishment of an annual forum. This edition consolidates these developments as well as expanding the scope of the journal to incorporate an archival profile of Special Collections at the University of Limerick. It is envisaged that this will become a standard feature of future editions. The History Studies forum has taken its lead from progressive independent initiatives such as the annual Irish History Students' Association Conference and the Irish Historical Society post graduate seminar, which provide a medium for postgraduate interaction. A series of student-led collaborative inter-university conferences have also proved to be successful in establishing research links and awareness between post-graduate students. On the publishing front, History Studies is among the leading Irish outlets for post-graduate research. While the two volumes of the Irish History Students' Association Research Yearbook that appeared in 2002 and 2003 were landmark publications for Irish post-graduate research. they failed to fill the void left by the demise of their predecessor Retrospect. The momentum generated was not maintained. The full potential of the Irish History Students' Association has not been realised due to a lack of dedication from the majority of the post-graduate research community. The commitment of the Irish Historical Society to research students has resulted in projects like the online post-graduate register and database of Irish history theses. In this fashion. the Irish Historical Society has embraced the possibilities offered by online technology to create a closer community of historical scholars. It is now incumbent upon the post-graduate community to establish a more vibrant and active research network Jennifer Moore John O'Callaghan Conor Reidy

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