Browsing Data Science Institute by Author "O'Neill, James"
Now showing items 1-4 of 4
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Accurate Bayesian prediction of cardiovascular-related mortality using ambulatory blood pressure measurements
O'Neill, James; Madden, Michael G.; Dolan, Eamon (Springer Cham, 2017-05-30)Hypertension is the leading cause of cardiovascular-related mortality (CVRM), affecting approximately 1 billion people worldwide. To enable patients at significant risk of CVRM to be treated appropriately, it is essential ... -
Automatic taxonomy generation: a use-case in the legal domain
Robin, Cécile; O'Neill, James; Buitelaar, Paul (LTC'17, 8th Language & Technology Conference, 2017-11-17)A key challenge in the legal domain is the adaptation and representation of the legal knowledge expressed through texts, in order for legal practitioners and researchers to access this information more easily and faster ... -
Classifying sentential modality in legal language: A use case in financial regulations, acts and directives
O'Neill, James; Buitelaar, Paul; Robin, Cécile; O'Brien, Leona (ACM, 2017-06-12)Texts expressed in legal language are often di cult and time consuming for lawyers to read through, particularly for the purpose of identifying relevant deontic modalities (obligations, prohibitions and permissions). ... -
NUIG at EmoInt-2017: BiLSTM and SVR ensemble to detect emotion intensity
Andryushechkin, Vladimir; Wood, Ian D.; O'Neill, James (Association for Computational Linguistics, 2017-09-08)This paper describes the entry NUIG in the WASSA 20171 shared task on emotion recognition. The NUIG system used an SVR (SVM regression) and BiLSTM ensemble, utilizing primarily n-grams (for SVR features) and tweet word ...