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Neural Text Generation from Rich Semantic Representations.

, , , and . NAACL-HLT (1), page 2259-2266. Association for Computational Linguistics, (2019)

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Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science., and . Trans. Assoc. Comput. Linguistics, (2018)Neural Text Generation from Rich Semantic Representations., , , and . NAACL-HLT (1), page 2259-2266. Association for Computational Linguistics, (2019)Detecting authority bids in online discussions., , , , , , and . SLT, page 49-54. IEEE, (2010)On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?, , , and . FAccT, page 610-623. ACM, (2021)Are We There Yet?: The Development of a Corpus Annotated for Social Acts in Multilingual Online Discourse., , , , , and . D&D, 4 (2): 1-33 (2013)Language CoLLAGE: Grammatical Description with the LinGO Grammar Matrix.. LREC, page 2447-2451. European Language Resources Association (ELRA), (2014)Data and its (dis)contents: A survey of dataset development and use in machine learning research., , , , and . CoRR, (2020)Linguistic Fundamentals for Natural Language Processing II: 100 Essentials from Semantics and Pragmatics, and . Synthesis Lectures on Human Language Technologies Morgan & Claypool Publishers, (2019)Spring Cleaning and Grammar Compression: Two Techniques for Detection of Redundancy in HPSG Grammars., , and . PACLIC, page 236-244. Digital Enhancement of Cognitive Development, Waseda University, (2011)Semantic Representations of Syntactically Marked Discourse Status in Crosslinguistic Perspective., and . STEP, Association for Computational Linguistics, (2008)