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, energy).
Funding program
Eureka Eurostars, Grant Number E*114154 (BMBF Grant Number 01QE2056C)
By Victor Mireles, Artem Revenko, Nikit Srivastava, Daniel Vollmers, Anna Breit, Diego Moussallem
Proceedings of Poster and Demo Track and Workshop Track of the 18th International Conference on Semantic Systems, co-located with 18th International Conference on Semantic Systems (SEMANTiCS 2022), 2022, #inproceedings