Guiding Generative Language Models for Data Augmentation in Few-Shot Text Classification

no code implementations • 17 Nov 2021 • Aleksandra Edwards, Asahi Ushio, Jose Camacho-Collados, Hélène de Ribaupierre, Alun Preece

Data augmentation techniques are widely used for enhancing the performance of machine learning models by tackling class imbalance issues and data sparsity.

Active Learning Data Augmentation +2

Interface to Query and Visualise Definitions from a Knowledge Base

no code implementations • 11 Mar 2021 • Anelia Kurteva, Hélène de Ribaupierre

However, both access and usage of Linked Data require individuals to have expert knowledge in the field of the Semantic Web.

Knowledge Graphs Human-Computer Interaction

Predicting Themes within Complex Unstructured Texts: A Case Study on Safeguarding Reports

no code implementations • 27 Oct 2020 • Aleksandra Edwards, David Rogers, Jose Camacho-Collados, Hélène de Ribaupierre, Alun Preece

The task of text and sentence classification is associated with the need for large amounts of labelled training data.

Classification General Classification +2