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Visually grounded generation of entailments from premises., , and . INLG, page 178-188. Association for Computational Linguistics, (2019)Contrast Is All You Need., , and . ASAIL@ICAIL, volume 3441 of CEUR Workshop Proceedings, page 72-82. CEUR-WS.org, (2023)MASRI-HEADSET: A Maltese Corpus for Speech Recognition., , , , , , and . LREC, page 6381-6388. European Language Resources Association, (2020)You Write like You Eat: Stylistic Variation as a Predictor of Social Stratification., , and . ACL (1), page 2583-2593. Association for Computational Linguistics, (2019)HL Dataset: Grounding High-Level Linguistic Concepts in Vision., , and . CoRR, (2023)Towards Harnessing Natural Language Generation to Explain Black-box Models., , and . NL4XAI@INGL, page 22-27. Association for Computational Linguistics, (2020)Best practices for the human evaluation of automatically generated text., , , , and . INLG, page 355-368. Association for Computational Linguistics, (2019)Is Shortest Always Best? The Role of Brevity in Logic-to-Text Generation., , , and . *SEM@ACL, page 180-192. Association for Computational Linguistics, (2023)Entity-Based Semantic Adequacy for Data-to-Text Generation., , and . EMNLP (Findings), page 1530-1540. Association for Computational Linguistics, (2021)Annotating for Hate Speech: The MaNeCo Corpus and Some Input from Critical Discourse Analysis., , , and . LREC, page 5088-5097. European Language Resources Association, (2020)