Extending DUDES for Ranked Template Generation

Question answering systems for Linked Open Data represented in RDF has received attention lately. These systems allow users to access datasets without any prior knowledge of the data model, schema, or query language. Template generation is one such method used by systems to transform natural language questions into SPARQL queries. TBSL is a representative of systems that use template-based approaches. TBSL first transforms questions into an intermediate semantic representation. After this the semantic representation is transformed into SPARQL templates. Several candidate templates can be generated. In this paper we propose an example of a possible scoring method on the intermediate semantic representations that can be later used for ranking the templates.