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Bootstrapping Generators from Noisy Data.

, and . NAACL-HLT, page 1516-1527. Association for Computational Linguistics, (2018)

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RTG based surface realisation for TAG., and . COLING, page 367-375. Tsinghua University Press, (2010)Models and Datasets for Cross-Lingual Summarisation., and . EMNLP (1), page 9408-9423. Association for Computational Linguistics, (2021)Using FB-LTAG Derivation Trees to Generate Transformation-Based Grammar Exercises., and . TAG, page 117-125. ACL, (2012)Using regular tree grammars to enhance sentence realisation., , and . Nat. Lang. Eng., 17 (2): 185-201 (2011)The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics., , , , , , , , , and 45 other author(s). CoRR, (2021)Content selection as semantic-based ontology exploration., , , and . WebNLG, page 41-45. Association for Computational Linguistics, (2016)Generating Summaries with Topic Templates and Structured Convolutional Decoders., , and . ACL (1), page 5107-5116. Association for Computational Linguistics, (2019)Models and Datasets for Cross-Lingual Summarisation., and . CoRR, (2022)GEMv2: Multilingual NLG Benchmarking in a Single Line of Code., , , , , , , , , and 66 other author(s). CoRR, (2022)Fine-Grained Natural Language Inference Based Faithfulness Evaluation for Diverse Summarisation Tasks., , and . EACL (1), page 1701-1722. Association for Computational Linguistics, (2024)