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Learning to Select, Track, and Generate for Data-to-Text.

, , , , , , , , and . ACL (1), page 2102-2113. Association for Computational Linguistics, (2019)

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Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learning., , , and . CoRR, (2023)Latent topic estimation based on events in a document., and . NLPKE, page 289-295. IEEE, (2011)A model of rhetorical structure analysis of Japanese instructional texts and its application to a smart help system., , , , and . SMC (4), page 3641-3646. IEEE, (2004)Verbalizing Time-series Data: With an Example of Stock Price Trends., and . IFSA/EUSFLAT Conf., page 234-239. (2009)Development of a Desktop Search System Using Correlation between User's Schedule and Data in a Computer., and . Web Intelligence/IAT Workshops, page 235-238. IEEE Computer Society, (2007)Learning word meanings and grammar for verbalization of daily life activities using multilayered multimodal latent Dirichlet allocation and Bayesian hidden Markov models., , , , , , and . Adv. Robotics, 30 (11-12): 806-824 (2016)Segmenting Continuous Motions with Hidden Semi-markov Models and Gaussian Processes., , , , , and . Frontiers Neurorobotics, (2017)Towards Parameter-Efficient Integration of Pre-Trained Language Models In Temporal Video Grounding., , , , , and . CoRR, (2022)Smart Help for Novice Users Based on Application Software Manuals., , , , and . J. Adv. Comput. Intell. Intell. Informatics, 10 (6): 811-820 (2006)Label Propagation for Text Classification Using Latent Topics., and . J. Adv. Comput. Intell. Intell. Informatics, 18 (5): 818-822 (2014)