Neural QA Model for DBPedia

In order to make DBpedia and its humongous linked data available to a larger user base in their natural languages, a Neural QA model has been developed to answer the question in English posed by users. This particular project aims to make our end-to-end system learn better compositionality of questions, by improving our current dataset and our learning model.