GENTIO

Recent years have shown major advances in the use of deep learning for the automated extraction of factual, affective and contextual knowledge from digital content streams. GENTIO builds on these advances to change the way we produce, enrich and analyse digital content. The project will develop a flexible Multi-Task Learning (MTL) approach based on Generative Learning Networks to unify the understanding of text at three fundamental levels: structure, content and context. Thereby it aims to boost the context processing capabilities of Natural Language Processing (NLP) frameworks, reduce the high cost of developing training data, and support the cost-effective development of intelligent semantic systems.