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Local Faith-Based Tourism And Volunteers Within Related Entities: A Maltese Perspective, Oliver Cassar Feb 2020

Local Faith-Based Tourism And Volunteers Within Related Entities: A Maltese Perspective, Oliver Cassar

International Journal of Religious Tourism and Pilgrimage

In 2017 a research study was carried out by the Cultural Commission of the Pinto Philharmonic Society (Soċjetà Filarmonika Pinto Banda San Sebastjan) of Qormi, Malta. This study aimed to evaluate the perceptions of volunteers that are active in different non-governmental organizations within different Christian parishes around Malta and Gozo. Within the research confraternities in diffe rent parish, local band clubs and chivalric orders had been identified as particular entities having good potential to enhance the niche market formation for faith-based tourism. Although volunteers recognise the positive inputs from tourism, the research also discusses local traditions. Further discussed is the …


Developing Anti-Oppressive Practice With The Person-In-Society: Reflexivity And Social Work, Stan Houston, Gerry Marshall Feb 2020

Developing Anti-Oppressive Practice With The Person-In-Society: Reflexivity And Social Work, Stan Houston, Gerry Marshall

Irish Journal of Applied Social Studies

Not much has been written on the subject of reflexivity in social work practice. Taking a definition of reflexivity that encourages the inquirer to consider how various psycho-social positions and power-saturated social spheres have shaped individual meaning and narrative, this article outlines a reflexive model that can be applied by social workers to enhance their understanding and implementation of anti-oppressive practice. The model builds on earlier theoretical work and evaluation carried out by the lead author but updates it by including new theoretical insights from both authors. The conceptualisation centres on five imbricated and power-saturated domains of understanding: the domains …


Negotiating With The Sacred Other: The Ancient Mechanisms Of The Personal Vow Practice, Mirela Hrovatin Feb 2020

Negotiating With The Sacred Other: The Ancient Mechanisms Of The Personal Vow Practice, Mirela Hrovatin

International Journal of Religious Tourism and Pilgrimage

By questioning the anthropological definition of vows as instrumental prayers, which has been generally accepted since William Christian (1989) introduced it, the paper will discuss the notion of a vow as a personal prayer in the effort to expand it beyond the mere request for a miracle or fulfilment of a pilgrim’s or believer’s wish. The votive prayer is mentioned already in the Bible (Deut. 23) as a somewhat problematic way of communicating with God due to a promise it contains. Based on the Amir Mashiach’s (2014) interpretation of prayers as performative utterances in the Jewish tradition and Radoslav Katičić's …


A Discourse Analysis Of Reputational Construction In The Field Of Online Contemporary Art Magazines, Tommie Soro Feb 2020

A Discourse Analysis Of Reputational Construction In The Field Of Online Contemporary Art Magazines, Tommie Soro

Doctoral

The bases of artistic reputation have been widely debated within the sociology of art and art history. Remarkably, however, little has been said of the role discourse might play in the construction of artistic reputation. An obstacle to addressing this research gap is that discourse analytic approaches have been developed to analyse evaluation and the construction of legitimacy but not the construction of reputation. Attending first to this research gap in discourse analysis, the thesis combines Field Theory and Discourse Analysis to develop a Discursive Field Approach that can analyse the discursive construction of reputation in a cultural field. Using …


Preface To The Special Issue On Advances In Argumentation In Artificial Intelligence, Pierpaolo Dondio, Luca Longo, Stefano Bistarelli Jan 2020

Preface To The Special Issue On Advances In Argumentation In Artificial Intelligence, Pierpaolo Dondio, Luca Longo, Stefano Bistarelli

Articles

Now at the forefront of automated reasoning, argumentation has become a key research topic within Artificial Intelligence. It involves the investigation of those activities for the production and exchange of arguments, where arguments are attempts to persuade someone of something by giving reasons for accepting a particular conclusion or claim as evident. The study of argumentation has been the focus of attention of philosophers and scholars, from Aristotle and classical rhetoric to the present day. The computational study of arguments has emerged as a field of research in AI in the last two decades, mainly fuelled by the interest from …


Femagogical Strategies In The Art School: Navigating The Institution, Barbara Knezevic, Amy Walsh Jan 2020

Femagogical Strategies In The Art School: Navigating The Institution, Barbara Knezevic, Amy Walsh

Articles

This writing aims to define and examine ‘femagogy’ and the transformative potential for an inclusive intersectional feminist teaching practice in Fine Art education in the context of the contemporary Irish art school. This writing will trace the influence of linguistic power structures and the influence of broader institutional patriarchy in an educational setting and outline the inspirations and genealogies of femagogy. This writing provides situated embodied examples of femagogy in practice. It proposes the femagogical model of teaching as one that situates itself outside prevailing patriarchal models and proposes strategies to reimagine knowledge production and navigate the prevailing structural patriarchy …


Opinion-Mining On Marglish And Devanagari Comments Of Youtube Cookery Channels Using Parametric And Non-Parametric Learning Models, Sonali Shah, Abhishek Kaushik, Shubham Sharma, Janice Shah Jan 2020

Opinion-Mining On Marglish And Devanagari Comments Of Youtube Cookery Channels Using Parametric And Non-Parametric Learning Models, Sonali Shah, Abhishek Kaushik, Shubham Sharma, Janice Shah

Articles

No abstract provided.


Expectations Of Artificial Intelligence And The Performativity Of Ethics: Implications For Communication Governance, Aphra Kerr, Marguerite Barry, John D. Kelleher Jan 2020

Expectations Of Artificial Intelligence And The Performativity Of Ethics: Implications For Communication Governance, Aphra Kerr, Marguerite Barry, John D. Kelleher

Articles

This article draws on the sociology of expectations to examine the construction of expectations of ‘ethical AI’ and considers the implications of these expectations for communication governance. We first analyse a range of public documents to identify the key actors, mechanisms and issues which structure societal expectations around artificial intelligence (AI) and an emerging discourse on ethics. We then explore expectations of AI and ethics through a survey of members of the public. Finally, we discuss the implications of our findings for the role of AI in communication gover- nance. We find that, despite societal expectations that we can design …


Real Smart (Data) City: Le Colonialisme Par Les Données, Conor Mcgarrigle Dr., Noel Fitzpatrick Jan 2020

Real Smart (Data) City: Le Colonialisme Par Les Données, Conor Mcgarrigle Dr., Noel Fitzpatrick

Book chapters

This chapter sets out to define the Data City by counteracting the Smart City as ahistorical, uprooted and dislocated, the Data city approach will highlight the rootedness, the historical and locate context of data colonalisation both historical and within contemporary Smart City Discourse. The Data City is, hence, taken within the paradigm of discourses in relation to the smart city, the smart city is here understood as the spectrum of discourses about the contemporary city. This spectrum encapsulates city authorities laudable aspirations for more social inclusion and better distribution of services to the Smart City as a form of technological …


An Evaluation Of Text Representation Techniques For Fake News Detection Using: Tf-Idf, Word Embeddings, Sentence Embeddings With Linear Support Vector Machine., Sangita Sriram Jan 2020

An Evaluation Of Text Representation Techniques For Fake News Detection Using: Tf-Idf, Word Embeddings, Sentence Embeddings With Linear Support Vector Machine., Sangita Sriram

Dissertations

In a world where anybody can share their views, opinions and make it sound like these are facts about the current situation of the world, Fake News poses a huge threat especially to the reputation of people with high stature and to organizations. In the political world, this could lead to opposition parties making use of this opportunity to gain popularity in their elections. In the medical world, a fake scandalous message about a medicine giving side effects, hospital treatment gone wrong or even a false message against a practicing doctor could become a big menace to everyone involved in …


The Production Of Space And The Archive Of Everyday Life, David Capener Jan 2020

The Production Of Space And The Archive Of Everyday Life, David Capener

Conference papers

The cloud is a complex material entanglement that moves across multiple scales from the microscopic to the mega-city. The material manifestations of the cloud, like data centers are nodes in an entangled network that cannot be thought apart from the modes of being that they produce. This requires us to think beyond the question — dominant in much architectural discourse — of what it is and ask what does it do? Concerning the cloud these two questions cannot be separated, to ask one is immediately to ask the other. This is the reason why I propose that Lefebvre’s triadic is …


Named Entity Recognition In Spanish Biomedical Literature: Short Review And Bert Model, Liliya Akhtyamova Jan 2020

Named Entity Recognition In Spanish Biomedical Literature: Short Review And Bert Model, Liliya Akhtyamova

Conference Papers

Named Entity Recognition (NER) is the rst step for knowledge acquisition when we deal with an unknown corpus of texts. Having received these entities, we have an opportunity to form parameters space and to solve problems of text mining as concept normalization, speech recognition, etc. The recent advances in NER are related to the technology of word embeddings, which transforms text to the form being effective for Deep Learning. In the paper, we show how NER detects pharmacological substances, compounds, and proteins in the dataset obtained from the Spanish Clinical Case Corpus (SPACCC). To achieve this goal, we use contextualized …


Sport In The Face Of The Covid-19 Pandemic: Towards An Agenda For Research In The Sociology Of Sport, Adam B. Evans, Joanna Blackwell, Paddy Dolan, Josef Fahlén, Remco Hoekma, Verena Lenneis, Gareth Mcnarry Jan 2020

Sport In The Face Of The Covid-19 Pandemic: Towards An Agenda For Research In The Sociology Of Sport, Adam B. Evans, Joanna Blackwell, Paddy Dolan, Josef Fahlén, Remco Hoekma, Verena Lenneis, Gareth Mcnarry

Articles

These are extraordinary times. Less because we are currently in the midst of a global pandemic; humanity has been here multiple times in the past, sometimes with even more devastating results (the ‘Black Death’ of 1346–1353, or Cocolitzli Epidemics in the 16th Century, for example). Rather, these are extraordinary times due to both the huge shutting down of industry, travel and borders, and the enormous level of coverage and discussion of the crisis through both traditional and social media formats (Stevens & Prins, 2020). Moreover, global, regional and national comparisons and discussions have become commonplace with regards to everything …


Identity Reconstruction Of Chinese Migrant Women In Ireland, Jun Ni Jan 2020

Identity Reconstruction Of Chinese Migrant Women In Ireland, Jun Ni

Books/Book chapters

This chapter presents an original qualitative study on the cross-cultural adaptation process and identity reconstruction of Chinese migrant women in Ireland. Based on an analysis of Chinese women’s cross-cultural adaptation experience, this study identifies facilitators of and barriers to the cross-cultural adaptation. It finds that the women who adopted an integrated strategy have developed an intercultural identity. On the one hand, they want to maintain their Chinese cultural identity and heritage; at the same time, they are committed to developing relationships with mainstream Irish society. Most Chinese women take pride in their Chinese culture and values. They aim to bring …


Local Alignment Of Frame Of Reference Assignment In English And Swedish Dialogue, Simon Dobnik, John D. Kelleher, Christine Howes Jan 2020

Local Alignment Of Frame Of Reference Assignment In English And Swedish Dialogue, Simon Dobnik, John D. Kelleher, Christine Howes

Conference papers

In this paper we examine how people assign, interpret, negotiate and repair the frame of reference (FoR) in online text-based dialogues discussing spatial scenes in English and Swedish. We describe our corpus and data collection which involves a coordination experiment in which dyadic dialogue participants have to identify differences in their picture of a visual scene. As their perspectives of the scene are different, they must coordinate their FoRs in order to complete the task. Results show that participants do not align on a global FoR, but tend to align locally, for sub-portions (or particular conversational games) in the dialogue. …


Co-Authoring Strategies In Business Research, Deirdre Mcquillan (Ed) Jan 2020

Co-Authoring Strategies In Business Research, Deirdre Mcquillan (Ed)

Books/Book Chapters

students to help assist their peers along the academic writing journey. This handbook addresses co-authoring strategies in business research. The students are discovering much to debate about co-authoring in academic writing. While co-authoring has shown to lead to higher research output and productivity for researchers, there are challenges. Not least ensuring a fair contribution of each author can be expected in an ethical approach. Recognising different co-authoring strategies is very helpful before embarking on a co-writing exercise. Strategic approaches to co-authoring might be because of multidisciplinary expertise that can speed up the socially constructed process of developing a paper. It …


An Examination Of The Role Of Spatial Ability In The Process Of Problem Solving In Chemical Engineering, Sheryl Sorby, Gavin Duffy, Norman Loney Jan 2020

An Examination Of The Role Of Spatial Ability In The Process Of Problem Solving In Chemical Engineering, Sheryl Sorby, Gavin Duffy, Norman Loney

Articles

Engineers often communicate with one another through drawings or sketches and understanding technical information through graphical representations is a skill necessary for engineering practice. Well-developed spatial skills are known to be important to understanding technical drawings and are therefore, important to success in engineering. Unfortunately, of all cognitive processes, spatial skills show robust gender differences, favouring males, which could contribute to the underrepresentation of women in engineering. In this research, we administered a test of spatial cognition to students enrolled in a common 3rd year course in chemical engineering . In a second session, students were given a set of …


Computational Propaganda: Targeted Advertising And The Perception Of Truth, Julie Murphy, Anthony Keane, Aurelia Power Jan 2020

Computational Propaganda: Targeted Advertising And The Perception Of Truth, Julie Murphy, Anthony Keane, Aurelia Power

Conference Papers

Social media has become an effective medium for the execution of cyberpsychological threats by adopting language to influence perceptions based on personal interests and behaviours. Targeted messages can be refined for maximum effect and have been implicated in changing the outcome of democratic elections and the decreasing uptake of vaccinations. However, computational propaganda and cyberpsychological threats are not well understood within the cybersecurity community. To address this, we adopt the theoretical model of the illusory truth effect to posit that how information is presented online, may solidify views in an 'undecided' group with 'some' knowledge of an argument. We test …


Active Learning For Auditory Hierarchy, William Coleman, Sarah Jane Delany, Charlie Cullen, Ming Yan Jan 2020

Active Learning For Auditory Hierarchy, William Coleman, Sarah Jane Delany, Charlie Cullen, Ming Yan

Conference papers

Much audio content today is rendered as a static stereo mix: fundamentally a fixed single entity. Object-based audio envisages the delivery of sound content using a collection of individual sound ‘objects’ controlled by accompanying metadata. This offers potential for audio to be delivered in a dynamic manner providing enhanced audio for consumers. One example of such treatment is the concept of applying varying levels of data compression to sound objects thereby reducing the volume of data to be transmitted in limited bandwidth situations. This application motivates the ability to accurately classify objects in terms of their ‘hierarchy’. That is, whether …


Conducting And Analysing Semi-Structured Interviews: A Study Of Open Innovation In Food Firms In Ireland., Anushree Priyadarshini Jan 2020

Conducting And Analysing Semi-Structured Interviews: A Study Of Open Innovation In Food Firms In Ireland., Anushree Priyadarshini

Articles

This case study examines the use of semi-structured interviews that I used in my PhD research as a method to explore open innovation in food firms in Ireland. Literature in the field highlights that exploring innovation and the extent to which firms are open and collaborative with people outside of their organizations in conducting innovation requires detailed understanding of the concept in its natural settings. To interpret or make sense of the phenomena in terms of the meaning managers bring to it, I conducted in-depth semi-structured interviews with managers in Ireland’s largest indigenous industry, the food and beverage sector. Demonstrating …


Transformer Neural Networks For Automated Story Generation, Kemal Araz Jan 2020

Transformer Neural Networks For Automated Story Generation, Kemal Araz

Dissertations

Towards the last two-decade Artificial Intelligence (AI) proved its use on tasks such as image recognition, natural language processing, automated driving. As discussed in the Moore’s law the computational power increased rapidly over the few decades (Moore, 1965) and made it possible to use the techniques which were computationally expensive. These techniques include Deep Learning (DL) changed the field of AI and outperformed other models in a lot of fields some of which mentioned above. However, in natural language generation especially for creative tasks that needs the artificial intelligent models to have not only a precise understanding of the given …


Identifying Online Sexual Predators Using Support Vector Machine, Yifan Li Jan 2020

Identifying Online Sexual Predators Using Support Vector Machine, Yifan Li

Dissertations

A two-stage classification model is built in the research for online sexual predator identification. The first stage identifies the suspicious conversations that have predator participants. The second stage identifies the predators in suspicious conversations. Support vector machines are used with word and character n-grams, combined with behavioural features of the authors to train the final classifier. The unbalanced dataset is downsampled to test the performance of re-balancing an unbalanced dataset. An age group classification model is also constructed to test the feasibility of extracting the age profile of the authors, which can be used as features for classifier training. The …


Finetuning Pre-Trained Language Models For Sentiment Classification Of Covid19 Tweets, Arjun Dussa Jan 2020

Finetuning Pre-Trained Language Models For Sentiment Classification Of Covid19 Tweets, Arjun Dussa

Dissertations

It is a common practice in today’s world for the public to use different micro-blogging and social networking platforms, predominantly Twitter, to share opinions, ideas, news, and information about many things in life. Twitter is also becoming a popular channel for information sharing during pandemic outbreaks and disaster events. The world has been suffering from economic crises ever since COVID-19 cases started to increase rapidly since January 2020. The virus has killed more than 800 thousand people ever since the discovery as per the statistics from Worldometer [1] which is the authorized tracking website. So many researchers around the globe …


Ideological Presuppositions In Media Coverage Of Corporation Tax Policy In The Uk And Ireland: A Critical Discourse Analysis, Ciara Graham, Brendan K. O'Rourke Jan 2020

Ideological Presuppositions In Media Coverage Of Corporation Tax Policy In The Uk And Ireland: A Critical Discourse Analysis, Ciara Graham, Brendan K. O'Rourke

Conference papers

The focus of this paper is to understand how the crisis of tax avoidance strategies is discursively treated, by looking at the representation of corporation tax in two mediated public discourses in the UK and Ireland. Specifically, it examines the coverage of two prominent, agenda-setting morning radio programmes: BBC’s Radio 4 ‘Today’ programme and RTE’s ‘Morning Ireland’. It does so by performing a Critical Discourse Analysis of the coverage of tax controversies of two high-profile global corporations, Google and Apple Inc, in order to demonstrate the embeddedness of ideology within mediated public discourses of the subject. Both of the tax …


A Comparative Study Of Text Summarization On E-Mail Data Using Unsupervised Learning Approaches, Tijo Thomas Jan 2020

A Comparative Study Of Text Summarization On E-Mail Data Using Unsupervised Learning Approaches, Tijo Thomas

Dissertations

Over the last few years, email has met with enormous popularity. People send and receive a lot of messages every day, connect with colleagues and friends, share files and information. Unfortunately, the email overload outbreak has developed into a personal trouble for users as well as a financial concerns for businesses. Accessing an ever-increasing number of lengthy emails in the present generation has become a major concern for many users. Email text summarization is a promising approach to resolve this challenge. Email messages are general domain text, unstructured and not always well developed syntactically. Such elements introduce challenges for study …


Comparison Of Allergen Legislation Between India And Ireland, Naresh Machha Jan 2020

Comparison Of Allergen Legislation Between India And Ireland, Naresh Machha

Theses

2 Abstract Food allergen is one of the major issues in countries like Ireland and India. In Ireland, allergen and ingredients labelling are considered as the topmost problems in the Irish food business. The problems can be solved under a strict framework guided by strong regulations. The problem is bigger in India than Ireland as in India, there is no proper legalized standard in the context of food allergens so the people who are allergic to certain food products are on high risk. Labelling is a major issue in India due to pluralism and diverse linguistic barriers. Ireland operated FSAI …


Narratives Of Creativity Among Social Care Educators In Irish Higher Education, Louisa Goss Jan 2020

Narratives Of Creativity Among Social Care Educators In Irish Higher Education, Louisa Goss

Theses

Research on creativity in the delivery of social care highlights growing evidence of its importance for the wellbeing and quality of life of those in receipt of care, as well as benefits for the workforce. However, what is less well understood and overlooked in the literature is how creativity is conceptualised and operationalised in practice and education. This thesis attends to this gap in research from the perspective of social care educators. With the aim of deepening understanding of higher education teachers’ construction of creativity, the study explores small stories about creativity from six educators teaching into an undergraduate degree …


Named Entity Recognition Based On A Graph Structure, David Muñoz, Fernando Pérez Téllez, David Pinto Jan 2020

Named Entity Recognition Based On A Graph Structure, David Muñoz, Fernando Pérez Téllez, David Pinto

Articles

The identification of indirect relationships between texts from different sources makes the task of text mining useful when the goal is to obtain the most valuable information from a set of texts. That is why in the field of information retrieval the correct recognition of named entities plays an important role when extracting valuable information in large amounts of text. Therefore, it is important to propose techniques that improve the NER classifiers in order to achieve the correct recognition of named entities. In this work, a graph structure for storage and enrichment of named entities is proposed. It makes use …


Language Model Co-Occurrence Linking For Interleaved Activity Discovery, Eoin Rogers, Robert J. Ross, John D. Kelleher Jan 2020

Language Model Co-Occurrence Linking For Interleaved Activity Discovery, Eoin Rogers, Robert J. Ross, John D. Kelleher

Conference papers

As ubiquitous computer and sensor systems become abundant, the potential for automatic identification and tracking of human behaviours becomes all the more evident. Annotating complex human behaviour datasets to achieve ground truth for supervised training can however be extremely labour-intensive, and error prone. One possible solution to this problem is activity discovery: the identification of activities in an unlabelled dataset by means of an unsupervised algorithm. This paper presents a novel approach to activity discovery that utilises deep learning based language production models to construct a hierarchical, tree-like structure over a sequential vector of sensor events. Our approach differs from …


Modelling Interleaved Activities Using Language Models, Eoin Rogers, Robert J. Ross, John D. Kelleher Jan 2020

Modelling Interleaved Activities Using Language Models, Eoin Rogers, Robert J. Ross, John D. Kelleher

Conference papers

We propose a new approach to activity discovery, based on the neural language modelling of streaming sensor events. Our approach proceeds in multiple stages: we build binary links between activities using probability distributions generated by a neural language model trained on the dataset, and combine the binary links to produce complex activities. We then use the activities as sensor events, allowing us to build complex hierarchies of activities. We put an emphasis on dealing with interleaving, which represents a major challenge for many existing activity discovery systems. The system is tested on a realistic dataset, demonstrating it as a promising …