BatteryDataExtractor: battery-aware text-mining software embedded with BERT models.

ABSTRACT: 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 have improved text-mining productivity, but most of the toolkits that mine text are based on traditional machine-learning-algorithms which hinder the performance of downstream text-mining tasks. Natural-language processing (NLP) and text-mining technologies have seen a rapid development since the release of transformer models, such as bidirectional encoder representations from transformers (BERT). Upgrading rule-based or machine-learning-based literature-mining toolkits by embedding transformer

SUBMITTER: Huang S 

PROVIDER: S-EPMC9627715 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature