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pro vyhledávání: '"de Ribaupierre, Helene"'
The project, under industrial funding, presented in this publication aims at the semantic analysis of a normative document describing requirements applicable to electrical appliances. The objective of the project is to build a semantic approach to ex
Externí odkaz:
http://arxiv.org/abs/2112.13091
Autor:
Edwards, Aleksandra, Ushio, Asahi, Camacho-Collados, Jose, de Ribaupierre, Hélène, Preece, Alun
Data augmentation techniques are widely used for enhancing the performance of machine learning models by tackling class imbalance issues and data sparsity. State-of-the-art generative language models have been shown to provide significant gains acros
Externí odkaz:
http://arxiv.org/abs/2111.09064
The semantic linked data model is at the core of the Web due to its ability to model real world entities, connect them via relationships and provide context, which could help to transform data into information and information into knowledge. Linked D
Externí odkaz:
http://arxiv.org/abs/2103.06571
Autor:
Edwards, Aleksandra, Rogers, David, Camacho-Collados, Jose, de Ribaupierre, Hélène, Preece, Alun
The task of text and sentence classification is associated with the need for large amounts of labelled training data. The acquisition of high volumes of labelled datasets can be expensive or unfeasible, especially for highly-specialised domains for w
Externí odkaz:
http://arxiv.org/abs/2010.14584
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