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cs.CV2021
Physical Context and Timing Aware Sequence Generating GANs
Hayato Futase, Tomoki Tsujimura, Tetsuya Kajimoto +4
Generative Adversarial Networks (GANs) have shown remarkable successes in generating realistic images and interpolating changes between images. Existing models, however, do not tak…
cs.CL2021
A Neural Edge-Editing Approach for Document-Level Relation Graph Extraction
Kohei Makino, Makoto Miwa, Yutaka Sasaki
In this paper, we propose a novel edge-editing approach to extract relation information from a document. We treat the relations in a document as a relation graph among entities in…