Papers by Kohei Makino

2 papers
Annotating and Extracting Synthesis Process of All-Solid-State Batteries from Scientific Literature (2020.lrec-1)

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Challenge: synthesis process is essential for computational experiment design in the field of inorganic materials chemistry.
Approach: They propose a corpus of the synthesis process for all-solid-state batteries and an automated machine reading system for extracting the buried synthesis processes.
Outcome: The proposed system can detect entities with a macro-averaged F1 score of 0.826 while the rule-based relation extractor can achieve high performance.
A Neural Edge-Editing Approach for Document-Level Relation Graph Extraction (2021.findings-acl)

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Challenge: Existing methods to extract relation information from documents do not capture interactions between entities.
Approach: They propose an iterative approach to extract relation information from a document . they initialize relation graphs using a pretrained transformer model and a graph convolutional neural network model .
Outcome: The proposed method extracts relation information from a document using a rule-based system and empty graphs.

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