Joint learning of ontology and semantic parser from text

Article type: Research Article

Authors: Starc, Janez^* | Mladenić, Dunja

Affiliations: Jožef Stefan International Postgraduate School, Jamova 39, 1000 Ljubljana, Slovenia

Correspondence: [*] Corresponding author: Janez Starc, Jožef Stefan International Postgraduate School, Jamova 39, 1000 Ljubljana, Slovenia. Tel.: +38 614773128; Fax: +38 614773851; E-mail:[email protected]

Abstract: 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.

Keywords: Ontology learning, semantic parsing, grammar induction, context-free grammar

DOI: 10.3233/IDA-150452

Journal: Intelligent Data Analysis, vol. 21, no. 1, pp. 19-38, 2017