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Transition-Based Deep Input Linearization., , and . EACL (1), page 643-654. Association for Computational Linguistics, (2017)Multi-Document Summarization with Centroid-Based Pretraining., and . CoRR, (2022)Data-to-text Generation with Entity Modeling., , and . ACL (1), page 2023-2035. Association for Computational Linguistics, (2019)CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation., , , and . EMNLP (Findings), page 7736-7752. Association for Computational Linguistics, (2023)Transition-Based Syntactic Linearization with Lookahead Features., , and . HLT-NAACL, page 488-493. The Association for Computational Linguistics, (2016)Data-to-Text Generation with Content Selection and Planning., , and . AAAI, page 6908-6915. AAAI Press, (2019)University of Edinburgh's submission to the Document-level Generation and Translation Shared Task., , and . NGT@EMNLP-IJCNLP, page 268-272. Association for Computational Linguistics, (2019)IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages., , , , , , , , and . EMNLP, page 5363-5394. Association for Computational Linguistics, (2022)Merging Verb Senses of Hindi WordNet using Word Embeddings., , , and . ICON, page 344-352. NLP Association of India, (2014)A Comprehensive Analysis of Adapter Efficiency., , , , , and . COMAD/CODS, page 136-154. ACM, (2024)