Cargando…
BatteryDataExtractor: battery-aware text-mining software embedded with BERT models
Due to the massive growth of scientific publications, literature mining is becoming increasingly popular for researchers to thoroughly explore scientific text and extract such data to create new databases or augment existing databases. Efforts in literature-mining software design and implementation...
Autores principales: | Huang, Shu, Cole, Jacqueline M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society of Chemistry
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9627715/ https://www.ncbi.nlm.nih.gov/pubmed/36348711 http://dx.doi.org/10.1039/d2sc04322j |
Ejemplares similares
-
BatteryBERT: A Pretrained Language Model for Battery
Database Enhancement
por: Huang, Shu, et al.
Publicado: (2022) -
A database of battery materials auto-generated using ChemDataExtractor
por: Huang, Shu, et al.
Publicado: (2020) -
VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification
por: Lu, Zhibin, et al.
Publicado: (2020) -
OpticalBERT and
OpticalTable-SQA: Text- and Table-Based
Language Models for the Optical-Materials Domain
por: Zhao, Jiuyang, et al.
Publicado: (2023) -
The performance of BERT as data representation of text clustering
por: Subakti, Alvin, et al.
Publicado: (2022)