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NeuralREG: An end-to-end approach to referring expression generation

, , , , and . Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), (2018)

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