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Neural Approaches for Syntactic and Semantic Analysis.. Kyoto University, Japan, (2019)Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule., and . ICLR, OpenReview.net, (2021)Neural Adversarial Training for Semi-supervised Japanese Predicate-argument Structure Analysis., , and . ACL (1), page 474-484. Association for Computational Linguistics, (2018)Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies., and . ACL (1), page 2420-2430. Association for Computational Linguistics, (2019)ARKitSceneRefer: Text-based Localization of Small Objects in Diverse Real-World 3D Indoor Scenes., , , and . EMNLP (Findings), page 784-799. Association for Computational Linguistics, (2023)CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data., , , , , and . CoRR, (2023)RefEgo: Referring Expression Comprehension Dataset from First-Person Perception of Ego4D., , and . ICCV, page 15168-15178. IEEE, (2023)Map-based Modular Approach for Zero-shot Embodied Question Answering., , , , and . CoRR, (2024)Iterative Span Selection: Self-Emergence of Resolving Orders in Semantic Role Labeling., , , and . COLING, page 5383-5397. International Committee on Computational Linguistics, (2022)ScanQA: 3D Question Answering for Spatial Scene Understanding., , , and . CVPR, page 19107-19117. IEEE, (2022)