The generation of natural language from Resource Description Framework (RDF) data has recently gained significant attention due to the continuous growth of Linked Data. A number of these approaches generate natural language in languages other than English, however, no work has been proposed to generate Brazilian Portuguese texts out of RDF. We address this research gap by presenting RDF2PT, an approach that verbalizes RDF data to Brazilian Portuguese language. We evaluated RDF2PT in an open questionnaire with 44 native speakers divided into experts and non-experts. Our results suggest that RDF2PT is able to generate text which is similar to that generated by humans and can hence be easily understood.
@article{arxiv.1802.08150,
title = {RDF2PT: Generating Brazilian Portuguese Texts from RDF Data},
author = {Diego Moussallem and Thiago Castro Ferreira and Marcos Zampieri and Maria Claudia Cavalcanti and Geraldo Xexéo and Mariana Neves and Axel-Cyrille Ngonga Ngomo},
journal= {arXiv preprint arXiv:1802.08150},
year = {2018}
}
Comments
Accepted for publication in Language Resources and Evaluation Conference (LREC) 2018