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Polylingual Hybrid Question Answering

PORQUE will develop and evaluate an extensible platform for polylingual question answering by relying on knowledge graphs and text.
We will combine neural machine translation with language-specific natural language processing techniques to make answering queries
across languages efficient and accurate. We will deliver a prototype, which will be evaluated through commercial solutions in three domains:
Open Data, Publishing Industry , and Technical Documentation.

Data underpin business-critical decisions in modern companies.
E.g. facts extracted from news influence financial markets by inducing 280% higher trade volume and 180% higher price change
within 10 minutes of availability (Fedyk, 2018; https://bit.ly/2OYbfXQ). />PORQUE will enable companies to ensure they can query across ALL DATA available
in natural language (question-answering) including facts obtained from data suppliers before taking business-critical decisions based thereon.

Partners

3 partners from Austria and Germany implement the PORQUE project.