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Bi-Frequency Symmetry Difference (BFSD) EIT in stroke diagnosis
(EIT2019, 2019-07-01)
BFSD-EIT can detect deviations in the inherent normal symmetry of the head due to, for example, the presence of a bleed or clot in stroke. We assess the potential of BFSD-EIT to robustly detect lesions under a series of ...
Creating a multilingual terminological resource using linked data:the case of archaeological domain in the Italian language
(CEUR Workshop Proceedings, 2019-11-13)
The lack of multilingual terminological resources in specialized domains constitutes an obstacle to the access and reuse of information. In the
technical domain of cultural heritage and,
in particular, archaeology, such ...
Inferring translation candidates for multilingual dictionary generation with multi-way neural machine translation
(National University of Ireland, Galway, 2019-05-20)
In the widely-connected digital world, multilingual lexical
resources are one of the most important resources, for natural language
processing applications, including information retrieval, question answering or knowledge ...
Leveraging rule-based machine translation knowledge for under-resourced neural machine translation models
(NUI Galway, 2019-08-19)
Rule-based machine translation is a machine translation paradigm where linguistic
knowledge is encoded by an expert in the
form of rules that translate from source to
target language. While this approach grants
total ...
Static lesion detection in symmetric scenes using dual-frequency electrical impedance tomography
(NUI Galway, 2019-01-18)
Tissues have characteristic frequency dependent impendence to electrical current. This property is exploited by Electrical Impedance Tomography (EIT), an emerging biomedical imaging technique. In EIT, electrical conductivity ...
Link prediction using multi part embeddings
(NUI Galway, 2019-06-02)
Knowledge graph embeddings models are widely used to provide scalable and efficient link prediction for knowledge graphs. They use different techniques to model embeddings interactions, where their tensor factorisation ...
Drug target discovery using knowledge graph embeddings
(Association for Computing Machinery, 2019-04-08)
The field of drug discovery has entered a plateau stage lately. It is increasingly more expensive and time-demanding to introduce new drugs into the market. One of the main reasons is the slow progress in finding novel ...
TIAD 2019 Shared Task: Leveraging knowledge graphs with neural machine translation for automatic multilingual dictionary generation
(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 ...
Taxonomy extraction for customer service knowledge base construction
(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 ...
Detecting bot behaviour in social media using digital DNA compression
(AICS (Artificial Intelligence and Cognitive Science) 2019, 2019-12-05)
A major challenge faced by online social networks such as Facebook and Twitter is the remarkable rise of fake and automated bot accounts over the last few years. Some of these accounts have been reported to engage in ...