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Preregistering NLP research., , и . NAACL-HLT, стр. 613-623. Association for Computational Linguistics, (2021)PASS: A Dutch data-to-text system for soccer, targeted towards specific audiences., , и . INLG, стр. 95-104. Association for Computational Linguistics, (2017)Template-based multilingual football reports generation using Wikidata as a knowledge base., , и . INLG, стр. 183-188. Association for Computational Linguistics, (2018)Automatic identification of writers' intentions: Comparing different methods for predicting relationship goals in online dating profile texts., , , , и . W-NUT@EMNLP, стр. 94-100. Association for Computational Linguistics, (2019)MEmoFC: introducing the Multilingual Emotional Football Corpus., , , , и . Lang. Resour. Evaluation, 55 (2): 389-430 (2021)Neural data-to-text generation: A comparison between pipeline and end-to-end architectures., , , и . EMNLP/IJCNLP (1), стр. 552-562. Association for Computational Linguistics, (2019)A General Benchmarking Framework for Text Generation, , , , , , , , , и 2 other автор(ы). Proceedings of the 3rd International Workshop on Natural Language Generation from the Semantic Web (WebNLG+), стр. 27--33. Dublin, Ireland (Virtual), Association for Computational Linguistics, (декабря 2020)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)Best practices for the human evaluation of automatically generated text., , , , и . INLG, стр. 355-368. Association for Computational Linguistics, (2019)Evaluating the text quality, human likeness and tailoring component of PASS: A Dutch data-to-text system for soccer., , , и . COLING, стр. 962-972. Association for Computational Linguistics, (2018)