Paper: Exploiting Ontology Lexica for Generating Natural Language Texts from RDF Data

ACL ID W13-2102
Title Exploiting Ontology Lexica for Generating Natural Language Texts from RDF Data
Venue European Workshop on Natural Language Generation
Session
Year 2013
Authors

The increasing amount of machine- readable data available in the context of the Semantic Web creates a need for methods that transform such data into human-comprehensible text. In this paper we develop and evaluate a Natural Language Generation (NLG) system that converts RDF data into natural language text based on an on- tology and an associated ontology lex- icon. While it follows a classical NLG pipeline, it diverges from most cur- rent NLG systems in that it exploits an ontology lexicon in order to capture context-specific lexicalisations of ontol- ogy concepts, and combines the use of such a lexicon with the choice of lexical items and syntactic structures based on statistical information extracted from a domain-specific corpus. We apply the developed approach to the cooking do- main,...