Browsing Data Science Institute by Title
Now showing items 72-91 of 544
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A comparison of emotion annotation schemes and a new annotated data set
(European Languages Resources Association (ELRA), 2018-05-07)While the recognition of positive/negative sentiment in text is an established task with many standard data sets and well developed methodologies, the recognition of more nuanced affect has received less attention, and ... -
A comparison of statistical and neural machine translation for Slovene, Serbian and Croatian
(Language Technologies and Digital Humanities 2018, 2018-09-20)In this paper we present a comparison of translation quality using of Statistical Machine Translation (SMT) and Neural Machine Translation (NMT), considering translation directions between English, Slovene, Serbian and ... -
Constructing Twitter Datasets using Signals for Event Detection Evaluation
(22nd International Conference on Case-Based Reasoning, 2014-09-29)Twitter is a very attractive real-time platform for research on event detection. However, despite the great amount of interest, datasets suitable for evaluating such methods are not easily available. The two most important ... -
A Context Lifecycle For Web-Based Context Management Services
(2009)During the development of context aware applications a con- text management component must traditionally be created. This task re- quires specialist context lifecycle management expertise and hence can be a significant ... -
Converging Web and Desktop Data with Konduit
(2009)In this paper we present Konduit, a desktop-based platform for visual scripting with RDF data. Based on the idea of the semantic desktop, non-technical users can create, manipulate and mash-up RDF data with Konduit, and ... -
A Conversation-oriented language for B2B integration based on Semantic Web Services
(2005)Establishing conversations in a B2B environment has significantly eased since the advent of standards such as RosettaNet and ebXML. These standardisation efforts have maintained some flexibility in defining interactions ... -
CORAAL - Towards Deep Exploitation of Textual Resources in Life Sciences
(Springer Verlag, 2009)Prominent biomedical literature search tools like ScienceDirect, PubMed Central or MEDLINE allow for efficient retrieval of resources based on key words. Due to vast amounts of data available in life sciences, key word ... -
Corpus creation for sentiment analysis in code-mixed Tamil-English text
(European Language Resources Association (ELRA), 2020-05-11)Understanding the sentiment of a comment from a video or an image is an essential task in many applications. Sentiment analysis of a text can be useful for various decision-making processes. One such application is to ... -
A corpus of the Sorani Kurdish folkloric lyrics
(National University of Ireland Galway, 2020-05-16)Kurdish poetry and prose narratives were historically transmitted orally and less in a written form. Being an essential medium of oral narration and literature, Kurdish lyrics have had a unique attribute in becoming a ... -
Cost-Aware Processing of Similarity Queries in Structured Overlays
(2006)Large-scale distributed data management with P2P systems requires the existence of similarity operators for queries as we cannot assume that all users will agree on exactly the same schema and value representations and ... -
Creating a fine-grained corpus for a less-resourced language: the case of Kurdish
(NUI Galway, 2019-07-28)Kurdish is a less-resourced language consisting of different dialects written in various scripts. Approximately 30 million people in different countries speak the language. The lack of corpora is one of the main obstacles ... -
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 ... -
Cross-lingual sentence embedding using multi-task learning
(Association for Computational Linguistics, 2021-11-07)Multilingual sentence embeddings capture rich semantic information not only for measuring similarity between texts but also for catering to a broad range of downstream cross-lingual NLP tasks. State-of-the-art multilingual ... -
CURED4NLG: A dataset for table-to-text generation
(University of Galway, 2023)We introduce CURED4NLG, a dataset for the task of table-to-text generation focusing on the public health domain. The dataset consists of 280 pairs of tables and documents extracted from weekly epidemiological reports ... -
D-FOAF - Distributed Identity Management based on Social Networks
(2006)Contemporary Web consists of more than just information, it provides a large number of services, which often require identi¿cation of it¿s users. Since distributed or shared identi¿cation systems are not yet widely adopted ... -
D-FOAF - Security Aspects in Distributed User Management System
(IEEE, 2005)The contemporary Internet offers various services ranging from electronic newspapers to on- line social networks. To authorize themselves, users have to register to on-line services. However, most of the ... -
D-FOAF: Distributed Identity Management with Access Rights Delegation
(2006)WWW provides a large number of services, which often require identification of it¿s users. This has lead to the fact that today users have to maintain a large number of different credentials for different websites - ... -
Data and Process Mediation Support for B2B Integration
(2008)In this paper we present how Semantic Web Service technology can be used to overcome process and data heterogeneity in a B2B integration scenario. While one partner uses standards like RosettaNet for product purchase and ... -
The data ethics challenges of explainable AI and their knowledge-based solutions
(IOS Press, 2020-05)Abstract. Explainable AI has recently gained momentum as an approach to overcome some of the more obvious ethical implications of the increasingly widespread application of AI (mostly machine learning). It is however not ...