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A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages., , , and . NAACL-HLT (1), page 2428-2439. Association for Computational Linguistics, (2019)'Don't Get Too Technical with Me': A Discourse Structure-Based Framework for Science Journalism., , , and . CoRR, (2023)'Keep it Together': Enforcing Cohesion in Extractive Summaries by Simulating Human Memory., , and . CoRR, (2024)GEMv2: Multilingual NLG Benchmarking in a Single Line of Code., , , , , , , , , and 66 other author(s). CoRR, (2022)On the Trade-off between Redundancy and Local Coherence in Summarization., , and . CoRR, (2022)'Don't Get Too Technical with Me': A Discourse Structure-Based Framework for Automatic Science Journalism., , , and . EMNLP, page 1186-1202. Association for Computational Linguistics, (2023)Improving Topic Coherence Using Entity Extraction Denoising., , , and . Prague Bull. Math. Linguistics, (2018)Unsupervised Extractive Summarization by Human Memory Simulation., , and . CoRR, (2021)Replacing Linguists with Dummies: A Serious Need for Trivial Baselines in Multi-Task Neural Machine Translation., , and . Prague Bull. Math. Linguistics, (2019)Document Modeling with External Attention for Sentence Extraction, , , , and . (2018)