Lexicalizing DBpedia with Realization Enabled Ensemble Architecture: RealText-lex2 Approach

DBpedia encodes massive amounts of open domain knowledge and is growing by accumulating more triples at the same rate as Wikipedia. However, the applications often require natural language formulations of these triples to present the information as a natural text. The RealTextlex2 framework offers a scalable platform to transform these triples to natural language sentences using lexicalization patterns. The framework has evolved from its previous version (RealTextlex) and is comprised of four lexicalization pattern mining modules which derive patterns from a training triple collection. These patterns can be then applied on the new triples given that they satisfy a defined set of constraints.