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A Systematic Review of Data-to-Text NLG., , и . CoRR, (2024)Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation., , , и . INLG, стр. 1-10. Association for Computational Linguistics, (2017)Towards proper name generation: a corpus analysis., , и . INLG, стр. 222-226. The Association for Computer Linguistics, (2016)Enriching the E2E dataset., , , и . INLG, стр. 177-183. Association for Computational Linguistics, (2021)A Reference-Less Quality Metric for Automatic Speech Recognition Via Contrastive-Learning of A Multi-Language Model with Self-Supervision., , , , и . ICASSP Workshops, стр. 1-5. IEEE, (2023)Evaluating Recognizing Question Entailment Methods for a Portuguese Community Question-Answering System about Diabetes Mellitus., , , , , , , , , и 9 other автор(ы). RANLP, стр. 234-243. INCOMA Ltd., (2021)Bete: A Brazilian Portuguese Dataset for Named Entity Recognition and Relation Extraction in the Diabetes Healthcare Domain., , , , и . BRACIS (3), том 14197 из Lecture Notes in Computer Science, стр. 256-267. Springer, (2023)Another PASS: A Reproduction Study of the Human Evaluation of a Football Report Generation System., , , и . INLG, стр. 286-292. Association for Computational Linguistics, (2021)Neural Data-to-Text Generation Based on Small Datasets: Comparing the Added Value of Two Semi-Supervised Learning Approaches on Top of a Large Language Model., , , , и . CoRR, (2022)Neural Data-to-Text Generation Based on Small Datasets: Comparing the Added Value of Two Semi-Supervised Learning Approaches on Top of a Large Language Model., , , , и . Comput. Linguistics, 49 (3): 555-611 (сентября 2023)