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Controlling Contents in Data-to-Document Generation with Human-Designed Topic Labels., , , , , , , , and . INLG, page 323-332. Association for Computational Linguistics, (2019)Semi-supervised Extractive Question Summarization Using Question-Answer Pairs., , , , and . ECIR (2), volume 12036 of Lecture Notes in Computer Science, page 255-264. Springer, (2020)Prompting for Numerical Sequences: A Case Study on Market Comment Generation., , and . LREC/COLING, page 13190-13200. ELRA and ICCL, (2024)Distant Supervision for Extractive Question Summarization., , , , and . ECIR (2), volume 12036 of Lecture Notes in Computer Science, page 182-189. Springer, (2020)Neural Query-Biased Abstractive Summarization Using Copying Mechanism., , , , and . ECIR (2), volume 12036 of Lecture Notes in Computer Science, page 174-181. Springer, (2020)Generating Market Comments Referring to External Resources., , , , , , , and . INLG, page 135-139. Association for Computational Linguistics, (2018)Training Generative Question-Answering on Synthetic Data Obtained from an Instruct-tuned Model., , , and . PACLIC, page 786-791. Association for Computational Linguistics, (2023)Automating Horizon Scanning in Future Studies., , , , , , and . LREC, page 319-327. European Language Resources Association, (2022)Learning to Select, Track, and Generate for Data-to-Text., , , , , , , , and . ACL (1), page 2102-2113. Association for Computational Linguistics, (2019)Pretraining and Updating Language- and Domain-specific Large Language Model: A Case Study in Japanese Business Domain., , , and . CoRR, (2024)