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

https://mdr.nims.go.jp/datasets/bbe7863a-df16-4e86-a85a-508fbb4e473f

## Files

- [Relation extraction with weakly supervised learning based on process structure property performance reciprocity.pdf](https://mdr.nims.go.jp/filesets/5c8e1798-4a54-4d44-b384-fa9ddd26788e/download) ([Detail](https://mdr.nims.go.jp/filesets/5c8e1798-4a54-4d44-b384-fa9ddd26788e.md))

## Id

bbe7863a-df16-4e86-a85a-508fbb4e473f

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2023-02-16T04:16:14.721853Z

## Updated at

2024-01-05T13:13:14.231611Z

## Published at

2023-02-17T00:32:02.465386Z

## Doi



## First published url

https://doi.org/10.1080/14686996.2018.1500852

## Date published

2018-12-31

## Recorded date published

2018-12-31

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Relationship Extraction with Weakly Supervised Learning Based on Process-Structure-Property-Performance
    Reciprocity
  title_type: original
  lang: en

## Description

- description: We developed a computer aided material design system that extracts
    relationships from natural language texts in weakly labeled data. We believe that
    our study makes a significant contribution to the literature because we trained
    a machine learning model with minimal annotated relation data to extract relationships
    between scientific concepts from scientific articles.
  description_type: abstract
  lang: eng

## Creator

- name: Takeshi Onishi
  role: author
- name: Takuya Kadohira
  role: author
  orcid: https://orcid.org/0000-0003-0569-1309
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26
- name: Ikumu Watanabe
  role: author
  orcid: https://orcid.org/0000-0002-7693-1675
  organization: National Institute for Materials Science
  ror: https://ror.org/026v1ze26

## Contact agent



## Publisher

organization: Informa UK Limited

## Managing organization



## Keyword

- subject: Natural language processing
  schema: not_defined
- subject: knowledge extraction
  schema: not_defined
- subject: relation extraction
  schema: not_defined
- subject: weakly supervised learning
  schema: not_defined
- subject: materials informatics
  schema: not_defined

## Rights

- description: Creative Commons BY Attribution 4.0 International
  identifier: https://creativecommons.org/licenses/by/4.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: SCIENCE AND TECHNOLOGY OF ADVANCED MATERIALS
  issn: '14686996'
  volume: '19'
  issue: '1'

## Conference



## Related item



## Funding



## Instrument



## Instrument operator



## Instrument managing organization



## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



## Structural feature for specimen



## Specific property for specimen



## Process for specimen treatment



## Computational method



## Energy level/transition state



## Software



## Custom property



## Fileset

- id: 5c8e1798-4a54-4d44-b384-fa9ddd26788e
  filename: Relation extraction with weakly supervised learning based on process structure
    property performance reciprocity.pdf
  content_type: application/pdf
  size: 1530124
  md5: '0814e363e9a8a07dd83cf32d3dd0141d'

## Thumbnail

fileset_id: 5c8e1798-4a54-4d44-b384-fa9ddd26788e
filename: Relation extraction with weakly supervised learning based on process structure
  property performance reciprocity.pdf