Cargando…
Relation extraction with weakly supervised learning based on process-structure-property-performance reciprocity
In this study, we develop a computer-aided material design system to represent and extract knowledge related to material design from natural language texts. A machine learning model is trained on a text corpus weakly labeled by minimal annotated relationship data (~100 labeled relationships) to extr...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Taylor & Francis
2018
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6147111/ https://www.ncbi.nlm.nih.gov/pubmed/30245757 http://dx.doi.org/10.1080/14686996.2018.1500852 |