GENTIO

Generative Learning Networks for Text and Impact Optimization

GENTIO aims for radical innovation in the way we produce, enrich and analyse digital content. The project will develop a flexible Deep Learning Architecture to unify the understanding of text at three fundamental levels: structure, content and context. In the first use case, we will experiment with new methods for communications experts to maximize the impact of data-driven publishing. In the second use case, we will correct and classify noisy output from Optical Character Recognition (OCR) systems. Through multilingual and highly scalable knowledge graph technologies, the envisioned approach will be applicable across numerous domains and regions.

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Funded by the Austrian Ministry for Transport, Innovation and Technology (BMVIT) via the ICT of the Future Program