  Semantic parsing methods are used for capturing and representing semantic
meaning of text. Meaning representation capturing all the concepts in the text
may not always be available or may not be sufficiently complete. Ontologies
provide a structured and reasoning-capable way to model the content of a
collection of texts. In this work, we present a novel approach to joint
learning of ontology and semantic parser from text. The method is based on
semi-automatic induction of a context-free grammar from semantically annotated
text. The grammar parses the text into semantic trees. Both, the grammar and
the semantic trees are used to learn the ontology on several levels -- classes,
instances, taxonomic and non-taxonomic relations. The approach was evaluated on
the first sentences of Wikipedia pages describing people.
