11 citations · 13 across the 5 of their papers we have counts for
5 papers
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…
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…
Enhancing Drug-Drug Interaction Extraction from Texts by Molecular Structure Information
Masaki Asada, Makoto Miwa, Yutaka Sasaki
We propose a novel neural method to extract drug-drug interactions (DDIs) from texts using external drug molecular structure information. We encode textual drug pairs with convolut…
Bib2vec: An Embedding-based Search System for Bibliographic Information
Takuma Yoneda, Koki Mori, Makoto Miwa +1
We propose a novel embedding model that represents relationships among several elements in bibliographic information with high representation ability and flexibility. Based on this…
Normalized Hierarchical SVM
Heejin Choi, Yutaka Sasaki, Nathan Srebro
We present improved methods of using structured SVMs in a large-scale hierarchical classification problem, that is when labels are leaves, or sets of leaves, in a tree or a DAG. We…