RDF2PT: Generating Brazilian Portuguese Texts from RDF Data

February 22, 2018 ยท Declared Dead ยท ๐Ÿ› International Conference on Language Resources and Evaluation

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Authors Diego Moussallem, Thiago Castro Ferreira, Marcos Zampieri, Maria Claudia Cavalcanti, Geraldo Xexรฉo, Mariana Neves, Axel-Cyrille Ngonga Ngomo arXiv ID 1802.08150 Category cs.CL: Computation & Language Citations 13 Venue International Conference on Language Resources and Evaluation Last Checked 5 months ago
Abstract
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.
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