11 citations · 13 across the 5 of their papers we have counts for
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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…
cs.CL2018★ 11 cited
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…
cs.CL2017★ 1 cited
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…