DCU-NLG-Small at the GEM’24 Data-to-Text Task: Rule-based generation and post-processing with T5-Base
Simon Mille, Mohammed Sabry, Anja Belz · 2024
Our submission to the GEM data-to-text shared task aims to assess the quality of texts produced by the combination of a rule-based system with a language model of reduced size.Our system first uses a rule-based generator to convert input triples into semantically correct English text, and then a language model to paraphrase these texts to make them more fluent.The texts are translated to languages other than English with the NLLB machine translation system. 1