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Mutual Information Decay Curves And Hyper-Parameter Grid Search Design For Recurrent Neural Architectures, Abhijit Mahalunkar, John Kelleher Jan 2020

Mutual Information Decay Curves And Hyper-Parameter Grid Search Design For Recurrent Neural Architectures, Abhijit Mahalunkar, John Kelleher

Conference papers

We present an approach to design the grid searches for hyper-parameter optimization for recurrent neural architectures. The basis for this approach is the use of mutual information to analyze long distance dependencies (LDDs) within a dataset. We also report a set of experiments that demonstrate how using this approach, we obtain state-of-the-art results for DilatedRNNs across a range of benchmark datasets.

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Empowering Qualitative Research Methods In Education With Artificial Intelligence, Luca Longo Jan 2020

Empowering Qualitative Research Methods In Education With Artificial Intelligence, Luca Longo

Conference papers

Artificial Intelligence is one of the fastest growing disciplines, disrupting many sectors. Originally mainly for computer scientists and engineers, it has been expanding its horizons and empowering many other disciplines contributing to the development of many novel applications in many sectors. These include medicine and health care, business and finance, psychology and neuroscience, physics and biology to mention a few. However, one of the disciplines in which artificial intelligence has not been fully explored and exploited yet is education. In this discipline, many research methods are employed by scholars, lecturers and practitioners to investigate the impact of different instructional approaches …

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Brexit: Psychometric Profiling The Political Salubrious Through Machine Learning: Predicting Personality Traits Of Boris Johnson Through Twitter Political Text, James Usher, Pierpaolo Dondio Jan 2020

Brexit: Psychometric Profiling The Political Salubrious Through Machine Learning: Predicting Personality Traits Of Boris Johnson Through Twitter Political Text, James Usher, Pierpaolo Dondio

Conference papers

Whilst the CIA have been using psychometric profiling for decades, Cambridge Analytica showed that people's psychological characteristics can be accurately predicted from their digital footprints, such as their Facebook or Twitter accounts. To exploit this form of psychological assessment from digital footprints, we propose machine learning methods for assessing political personality from Twitter. We have extracted the tweet content of Prime Minster Boris Johnson’s Twitter account and built three predictive personality models based on his Twitter political content. We use a Multi-Layer Perceptron Neural network, a Naive Bayes multinomial model and a Support Machine Vector model to predict the OCEAN …

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Content-Based Filtering Recommendation Approach To Label Irish Legal Judgements, Sandesh Gangadhar Jan 2020

Content-Based Filtering Recommendation Approach To Label Irish Legal Judgements, Sandesh Gangadhar

Dissertations

Machine learning approaches are applied across several domains to either simplify or automate tasks which directly result in saved time or cost. Text document labelling is one such task that requires immense human knowledge about the domain and efforts to review, understand and label the documents. The company Stare Decisis summarises legal judgements and labels them as they are made available on Irish public legal source www.courts.ie. This research presents a recommendation-based approach to reduce the time for solicitors at Stare Decisis by reducing many numbers of available labels to pick from to a concentrated few that potentially contains the …

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Exploration Of Approaches To Arabic Named Entity Recognition, Husamelddin Balla, Sarah Jane Delany Jan 2020

Exploration Of Approaches To Arabic Named Entity Recognition, Husamelddin Balla, Sarah Jane Delany

Conference papers

Abstract. The Named Entity Recognition (NER) task has attracted significant attention in Natural Language Processing (NLP) as it can enhance the performance of many NLP applications. In this paper, we compare English NER with Arabic NER in an experimental way to investigate the impact of using different classifiers and sets of features including language-independent and language-specific features. We explore the features and classifiers on five different datasets. We compare deep neural network architectures for NER with more traditional machine learning approaches to NER. We discover that most of the techniques and features used for English NER perform well on Arabic …

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Latin American Cinema, Mirna Vohnsen Jan 2020

Latin American Cinema, Mirna Vohnsen

Articles

Although studies of Argentine, Mexican and Cuban cinema continue to dominate the Latin American film scholarship, in the past two years, there has been increasing interest in examining the minor cinemas of the region. The expanding local film industries, the new technical trends and the increase in cinematic productions across all Latin America have captured the attention of academics and critics who have devoted their research to explore the lesser-known films of, for example, Uruguay, Colombia and Central America

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Entrepreneuring After 50: The Liminal Identity Transitions Of Older Emergent Entrepreneurs, Lucia Garcia-Lorenzo, Lucia Sell-Trujillo, Paul Donnelly Jan 2020

Entrepreneuring After 50: The Liminal Identity Transitions Of Older Emergent Entrepreneurs, Lucia Garcia-Lorenzo, Lucia Sell-Trujillo, Paul Donnelly

Articles

Entrepreneurship has been proposed as a solution to extending working lives. However, little is known about how older (50+) entrepreneurs manage their personal transitions into entrepreneurship. In this paper, we propose to use a liminal identity work perspective to explore the identity paradoxes that older entrepreneurs experience during their transition into entrepreneurship and how they manage it. We use a qualitative study conducted over 14 months in the United Kingdom. Our analysis shows how older entrepreneurs confront identity paradoxes, interruptions and identity polarization in their attempts to shift from older identities and activity patterns into new ones. The entrepreneurs who …

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Comparing Tagging Suggestion Models On Discrete Corpora, Bojan Bozic, Andre Rios, Sarah Jane Delany Jan 2020

Comparing Tagging Suggestion Models On Discrete Corpora, Bojan Bozic, Andre Rios, Sarah Jane Delany

Articles

This paper aims to investigate the methods for the prediction of tags on a textual corpus that describes diverse data sets based on short messages; as an example, the authors demonstrate the usage of methods based on hotel staff inputs in a ticketing system as well as the publicly available StackOverflow corpus. The aim is to improve the tagging process and find the most suitable method for suggesting tags for a new text entry.

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Analysis Of Automatic Annotations Of Real Video Surveillance Images, Diana Guevara Flores, Fernando Pérez Téllez, David Pinto Avendaño Jan 2020

Analysis Of Automatic Annotations Of Real Video Surveillance Images, Diana Guevara Flores, Fernando Pérez Téllez, David Pinto Avendaño

Articles

The results of the analysis of the automatic annotations of real video surveillance sequences are presented. The annotations of the frames of surveillance sequences of the parking lot of a university campus are generated. The purpose of the analysis is to evaluate the quality of the descriptions and analyze the correspondence between the semantic content of the images and the corresponding annotation. To perform the tests, a fixed camera was placed in the campus parking lot and video sequences of about 20 minutes were obtained, later each frame was annotated individually and a text repository with all the annotations was …

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Evaluating The Impact Of Defeasible Argumentation As A Modelling Technique For Reasoning Under Uncertainty, Lucas Rizzo Jan 2020

Evaluating The Impact Of Defeasible Argumentation As A Modelling Technique For Reasoning Under Uncertainty, Lucas Rizzo

Doctoral

Limited work exists for the comparison across distinct knowledge-based approaches in Artificial Intelligence (AI) for non-monotonic reasoning, and in particular for the examination of their inferential and explanatory capacity. Non-monotonicity, or defeasibility, allows the retraction of a conclusion in the light of new information. It is a similar pattern to human reasoning, which draws conclusions in the absence of information, but allows them to be corrected once new pieces of evidence arise. Thus, this thesis focuses on a comparison of three approaches in AI for implementation of non-monotonic reasoning models of inference, namely: expert systems, fuzzy reasoning and defeasible argumentation. …

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An Empirical Evaluation Of The Inferential Capacity Of Defeasible Argumentation, Non-Monotonic Fuzzy Reasoning And Expert Systems, Lucas Rizzo, Luca Longo Jan 2020

An Empirical Evaluation Of The Inferential Capacity Of Defeasible Argumentation, Non-Monotonic Fuzzy Reasoning And Expert Systems, Lucas Rizzo, Luca Longo

Articles

Several non-monotonic formalisms exist in the field of Artificial Intelligence for reasoning under uncertainty. Many of these are deductive and knowledge-driven, and also employ procedural and semi-declarative techniques for inferential purposes. Nonetheless, limited work exist for the comparison across distinct techniques and in particular the examination of their inferential capacity. Thus, this paper focuses on a comparison of three knowledge-driven approaches employed for non-monotonic reasoning, namely expert systems, fuzzy reasoning and defeasible argumentation. A knowledge-representation and reasoning problem has been selected: modelling and assessing mental workload. This is an ill-defined construct, and its formalisation can be seen as a reasoning …

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Using Blended Learning To Enhance The Experience Of Students In Built Environment Related Degree Programs, Philip Russell, Ruairi Hayden Dec 2019

Using Blended Learning To Enhance The Experience Of Students In Built Environment Related Degree Programs, Philip Russell, Ruairi Hayden

Support services (Former ITT) - Articles

Blended learning was introduced into the Construction Management programme in the School of Surveying and Construction Management at the Technological University Dublin in 2016. The module has traditionally been delivered by face-to-face teaching but online delivery has been facilitated using the Virtual Learning Environment (Blackboard) which has enabled a more blended approach to academic instruction. This innovative change to module provision has also provided an opportunity to enhance the student learning experience within the School through a more flexible teaching and learning environment. In this paper, the design, development and implementation of blended learning into a Construction Technology module is …

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Pilgrims’ Play On The Santiago Way, Daniel Moulin-Stożek Dec 2019

Pilgrims’ Play On The Santiago Way, Daniel Moulin-Stożek

International Journal of Religious Tourism and Pilgrimage

The popularity of the walking pilgrimage to Santiago de Compostela across Northern Spain is often understood as a new kind of spiritual tourism rather than a revival of religious practice. In order to examine this claim, I explore common symbolic and ritual practices on the trail such as rock placing, message making, role playing, and partaking in communal play activities. I elaborate the concept of play to explain these behaviors and consider how they relate to transcendental and sacred meanings. This analysis has important implications for explaining the current popularity of the Camino. In particular, it helps explain how the …

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Size Matters: The Impact Of Training Size In Taxonomically-Enriched Word Embeddings, Alfredo Maldonado, Filip Klubicka, John D. Kelleher Oct 2019

Size Matters: The Impact Of Training Size In Taxonomically-Enriched Word Embeddings, Alfredo Maldonado, Filip Klubicka, John D. Kelleher

Articles

Word embeddings trained on natural corpora (e.g., newspaper collections, Wikipedia or the Web) excel in capturing thematic similarity (“topical relatedness”) on word pairs such as ‘coffee’ and ‘cup’ or ’bus’ and ‘road’. However, they are less successful on pairs showing taxonomic similarity, like ‘cup’ and ‘mug’ (near synonyms) or ‘bus’ and ‘train’ (types of public transport). Moreover, purely taxonomy-based embeddings (e.g. those trained on a random-walk of WordNet’s structure) outperform natural-corpus embeddings in taxonomic similarity but underperform them in thematic similarity. Previous work suggests that performance gains in both types of similarity can be achieved by enriching natural-corpus embeddings with …

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Update Frequency And Background Corpus Selection In Dynamic Tf-Idf Models For First Story Detection, Fei Wang, Robert J. Ross, John D. Kelleher Oct 2019

Update Frequency And Background Corpus Selection In Dynamic Tf-Idf Models For First Story Detection, Fei Wang, Robert J. Ross, John D. Kelleher

Conference papers

First Story Detection (FSD) requires a system to detect the very first story that mentions an event from a stream of stories. Nearest neighbour-based models, using the traditional term vector document representations like TF-IDF, currently achieve the state of the art in FSD. Because of its online nature, a dynamic term vector model that is incrementally updated during the detection process is usually adopted for FSD instead of a static model. However, very little research has investigated the selection of hyper-parameters and the background corpora for a dynamic model. In this paper, we analyse how a dynamic term vector model …

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Perspectives On The Improvement Of Uzbekistan As A Destination For Multi-Confessional Self-Organised Pilgrims, Bakhtiyor Negmatovich Navruz-Zoda, Nutfillo Ibragimov, Akmal Rakhmanov Sep 2019

Perspectives On The Improvement Of Uzbekistan As A Destination For Multi-Confessional Self-Organised Pilgrims, Bakhtiyor Negmatovich Navruz-Zoda, Nutfillo Ibragimov, Akmal Rakhmanov

International Journal of Religious Tourism and Pilgrimage

By accenting the tourism industry as one of the most valuable sectors for prosperity and appreciating its potential in new social-economic reforms, the administration of the Republic of Uzbekistan has been making visible steps for its development. Particularly religious tourism and pilgrimage are noted as offering opportunities for modernisation in a global world. Carrying a major geographical role in the connection of main trade routes between East and West, the country became the crossroad of civilisation and religious diffusions. Consequently, with new religious tourism and pilgrimage flows: following the earliest dominating beliefs of Zoroastrianism, and its New Age followers; being …

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Cultural Routes Crossing Portugal: History And Traditions, Odete Paiva, Cláudia Seabra, José Luís Abrantes Sep 2019

Cultural Routes Crossing Portugal: History And Traditions, Odete Paiva, Cláudia Seabra, José Luís Abrantes

International Journal of Religious Tourism and Pilgrimage

Cultural routes across different regions create real opportunities to improve tourism dynamics, offering tourists more valuable experiences bringing benefits to the entire tourism value chain and to all tourism-related sectors (Perdomo, 2015). This study analyses the potential of a cultural and tourist product based on two routes in the Centre of Portugal, one following the path laid out by the 3rd French Invasion and another following the Historical National Road Nº2. The main goal is to investigate the attractiveness and market potential for the two routes specifically in the domestic market. Based on the results of a questionnaire applied to …

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Eavesdropping Hackers: Detecting Software Vulnerability Communication On Social Media Using Text Mining, Susan Mckeever, Brian Keegan, Andrei Quieroz Sep 2019

Eavesdropping Hackers: Detecting Software Vulnerability Communication On Social Media Using Text Mining, Susan Mckeever, Brian Keegan, Andrei Quieroz

Conference papers

Abstract—Cyber security is striving to find new forms of protection against hacker attacks. An emerging approach nowadays is the investigation of security-related messages exchanged on Deep/Dark Web and even Surface Web channels. This approach can be supported by the use of supervised machine learning models and text mining techniques. In our work, we compare a variety of machine learning algorithms, text representations and dimension reduction approaches for the detection accuracies of software-vulnerability-related communications. Given the imbalanced nature of the three public datasets used, we investigate appropriate sampling approaches to boost detection accuracies of our models. In addition, we examine how …

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Capturing Dialogue State Variable Dependencies With An Energy-Based Neural Dialogue State Tracker, Anh Duong Trinh, Robert J. Ross, John D. Kelleher Sep 2019

Capturing Dialogue State Variable Dependencies With An Energy-Based Neural Dialogue State Tracker, Anh Duong Trinh, Robert J. Ross, John D. Kelleher

Conference papers

Dialogue state tracking requires the population and maintenance of a multi-slot frame representation of the dialogue state. Frequently, dialogue state tracking systems assume independence between slot values within a frame. In this paper we argue that treating the prediction of each slot value as an independent prediction task may ignore important associations between the slot values, and, consequently, we argue that treating dialogue state tracking as a structured prediction problem can help to improve dialogue state tracking performance. To support this argument, the research presented in this paper is structured into three stages: (i) analyzing variable dependencies in dialogue data; …

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Future Challenges And Opportunities In Teaching And Research For Biomedical Sciences, Gerry Mckenna Sep 2019

Future Challenges And Opportunities In Teaching And Research For Biomedical Sciences, Gerry Mckenna

HUCBMS: Heads of University Centres of Biomedical Sciences

No abstract provided.

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Update On The Research Assessment Framework 2021, Yvonne Barnett Sep 2019

Update On The Research Assessment Framework 2021, Yvonne Barnett

HUCBMS: Heads of University Centres of Biomedical Sciences

No abstract provided.

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Ireland In The European Eye: At Home In The Heart Of Europe : Book Review: An Excellent Analysis Of Ireland’S Interactions With Its European Allies, Eamon Maher Sep 2019

Ireland In The European Eye: At Home In The Heart Of Europe : Book Review: An Excellent Analysis Of Ireland’S Interactions With Its European Allies, Eamon Maher

Articles

This essay collection provides an excellent analysis of Ireland’s various interactions with its European allies, from the early medieval period up to the present moment. The essays cover things as diverse as history, religion, literature, tourism, politics, trade, journalism, architecture, music and film in 22 chapters by experts from various disciplines, who serve up an informative and welcome survey that emphasises the historical ties that bind the Emerald Isle to its largest neighbour and the Continent.

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Bigger Versus Similar: Selecting A Background Corpus For First Story Detection Based On Distributional Similarity, Fei Wang, Robert J. Ross, John D. Kelleher Sep 2019

Bigger Versus Similar: Selecting A Background Corpus For First Story Detection Based On Distributional Similarity, Fei Wang, Robert J. Ross, John D. Kelleher

Conference papers

The current state of the art for First Story Detection (FSD) are nearest neighbour-based models with traditional term vector representations; however, one challenge faced by FSD models is that the document representation is usually defined by the vocabulary and term frequency from a background corpus. Consequently, the ideal background corpus should arguably be both large-scale to ensure adequate term coverage, and similar to the target domain in terms of the language distribution. However, given these two factors cannot always be mutually satisfied, in this paper we examine whether the distributional similarity of common terms is more important than the scale …

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J.K. Mertz’S Bardenklänge: A Context For The Emergence Of The Character Piece Genre Within The Repertoire For Solo Guitar, Brinsley Doran Sep 2019

J.K. Mertz’S Bardenklänge: A Context For The Emergence Of The Character Piece Genre Within The Repertoire For Solo Guitar, Brinsley Doran

Masters

Having experience a large increase in concert activity in recent years, one would assume that the works of J.K. Mertz (1806–1856) would haveexperience the same level of attention within academic circles, however research is still limited. As a result, this thesissetsout to understand in what areas do Mertz's works differ fromother guitar works in the first half of the nineteenth century—specifically Mertz's set of character piecesfound in hisBardenklänge, op. 13. This thesiswill address shifts in culture, aesthetics and the increasing interest in the ‘Folk’c.1800–1850 that led to the composition of Mertz’s Bardenklänge. Published in 1847, these works are unique in …

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#Riseandgrind: Lessons From A Biased Ai, Conor Mcgarrigle Sep 2019

#Riseandgrind: Lessons From A Biased Ai, Conor Mcgarrigle

Conference Papers

#RiseandGrind is a research-based artwork that, through a process of active engagement with the machine-learning tools of what is known as artificial intelligence, sought to make visible the complex relationship between the origins and context of training data and the results that are produced through the training process. The project using textual data extracted from Twitter hashtags that exhibit clear bias to train a recurrent neural network (RNN) to generate text for a Twitter bot, with the process of training and text generation represented in a series of gallery installations. The process demonstrated how original bias is consolidated, amplified, and …

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Energy-Based Modelling For Dialogue State Tracking, Anh Duong Trinh, Robert J. Ross, John D. Kelleher Aug 2019

Energy-Based Modelling For Dialogue State Tracking, Anh Duong Trinh, Robert J. Ross, John D. Kelleher

Conference papers

The uncertainties of language and the complexity of dialogue contexts make accurate dialogue state tracking one of the more challenging aspects of dialogue processing. To improve state tracking quality, we argue that relationships between different aspects of dialogue state must be taken into account as they can often guide a more accurate interpretation process. To this end, we present an energy-based approach to dialogue state tracking as a structured classification task. The novelty of our approach lies in the use of an energy network on top of a deep learning architecture to explore more signal correlations between network variables including …

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Synthetic, Yet Natural: Properties Of Wordnet Random Walk Corpora And The Impact Of Rare Words On Embedding Performance, Filip Klubicka, Alfredo Maldonado, Abhijit Mahalunkar, John D. Kelleher Jul 2019

Synthetic, Yet Natural: Properties Of Wordnet Random Walk Corpora And The Impact Of Rare Words On Embedding Performance, Filip Klubicka, Alfredo Maldonado, Abhijit Mahalunkar, John D. Kelleher

Conference papers

Creating word embeddings that reflect semantic relationships encoded in lexical knowledge resources is an open challenge. One approach is to use a random walk over a knowledge graph to generate a pseudo-corpus and use this corpus to train embeddings. However, the effect of the shape of the knowledge graph on the generated pseudo-corpora, and on the resulting word embeddings, has not been studied. To explore this, we use English WordNet, constrained to the taxonomic (tree-like) portion of the graph, as a case study. We investigate the properties of the generated pseudo-corpora, and their impact on the resulting embeddings. We find …

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2019 School Of Culinary Arts & Food Technology - Summer Newsletter, James Peter Murphy Jun 2019

2019 School Of Culinary Arts & Food Technology - Summer Newsletter, James Peter Murphy

Other resources

The School of Culinary Arts and Food Technology, TU Dublin, Summer Newsletter captured the many events, research, awards, significant contributions and special civic and community activities which the students and staff members of the school have successfully completed up to the Summer period of 2019. The successful completion of these activities would not be possible without the active and on-going support of the 'INSPIRED' friends of Culinary Arts (school sponsors) and our school's industry association supporters.

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School Of Culinary Arts & Food Technology, Technological University Dublin Newsletter: Summer, 2019, James Murphy Jun 2019

School Of Culinary Arts & Food Technology, Technological University Dublin Newsletter: Summer, 2019, James Murphy

Articles

The School of Culinary Arts and Food Technology, TU Dublin, Summer Newsletter captured the many events, research, awards, significant contributions and special civic and community activities which the students and staff members of the school have successfully completed up to the Summer period of 2019. The successful completion of these activities would not be possible without the active and on-going support of the 'INSPIRED' friends of Culinary Arts (school supporters) and our school's industry association supporters.

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Social Care Workers’ Experiences Of Supporting The Mental Health Needs Of Young People With Hearing Difficulties, Niall Ivory May 2019

Social Care Workers’ Experiences Of Supporting The Mental Health Needs Of Young People With Hearing Difficulties, Niall Ivory

Journal of Social Care

This study examines the experiences of social care workers working with deaf young people presenting with mental health issues in a residential setting. A qualitative research methodology was implemented to gather the data. Four participants engaged in semi-structured interviews. The data collected was analysed using thematic analysis. The research findings identified three themes that were relevant to the research aim. The participants described experiencing issues of anxiety, self-harm and suicidal ideation among their clients. The findings acknowledge the significant impact sign language has in mitigating mental health issues and how isolation due to communication issues among the hearing community can …

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