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Filtering by: Author Ikumu Watanabe Type of work Publication Keyword Natural language processing Keyword materials informatics Rights Statement Sim Creative Commons BY Attribution 4.0 International

1. Relationship Extraction with Weakly Supervised Learning Based on Process-Structure-Property-Performance Reciprocity

Description/Abstract:: We developed a computer aided material design system that extracts relationships from natural language texts in weakly labeled data. We b...
Keyword:: Natural language processing, knowledge extraction, materials informatics, relation extraction, and weakly supervised learning
Resource Type:: Article
Author:: Takeshi Onishi, Takuya Kadohira, and Ikumu Watanabe
Date Uploaded:: 17/02/2023
Date Modified:: 22/03/2024

1. Relationship Extraction with Weakly Supervised Learning Based on Process-Structure-Property-Performance Reciprocity

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1. Relationship Extraction with Weakly Supervised Learning Based on Process-Structure-Property-Performance Reciprocity

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