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Search Challenges in Natural Language Generation with Complex Optimization Objectives, , , , и . KI - Künstliche Intelligenz, (to appear)Enhancing the Expression of Contrast in the SPaRKy Restaurant Corpus., , и . ENLG, стр. 30-39. The Association for Computer Linguistics, (2013)Disentangling the Properties of Human Evaluation Methods: A Classification System to Support Comparability, Meta-Evaluation and Reproducibility Testing., , и . INLG, стр. 183-194. Association for Computational Linguistics, (2020)Inducing Clause-Combining Rules: A Case Study with the SPaRKy Restaurant Corpus., и . ENLG, стр. 28-37. The Association for Computer Linguistics, (2015)From OpenCCG to AI Planning: Detecting Infeasible Edges in Sentence Generation., , , , и . COLING, стр. 1524-1534. ACL, (2016)OTTers: One-turn Topic Transitions for Open-Domain Dialogue., , , и . ACL/IJCNLP (1), стр. 2492-2504. Association for Computational Linguistics, (2021)Psycholinguistic Models of Sentence Processing Improve Sentence Readability Ranking., и . EACL (1), стр. 958-968. Association for Computational Linguistics, (2017)G-TUNA: a corpus of referring expressions in German, including duration information., , и . INLG, стр. 149-153. Association for Computational Linguistics, (2017)Automatic Metrics in Natural Language Generation: A survey of Current Evaluation Practices., , , , , , , , и . INLG, стр. 557-583. Association for Computational Linguistics, (2024)Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definitions., , , , , , , , , и . INLG, стр. 169-182. Association for Computational Linguistics, (2020)