Ontology highlight
ABSTRACT:
SUBMITTER: Shetty P
PROVIDER: S-EPMC7797509 | biostudies-literature | 2021 Jan
REPOSITORIES: biostudies-literature
iScience 20201210 1
Materials science literature has grown exponentially in recent years making it difficult for individuals to master all of this information. This constrains the formulation of new hypotheses that scientists can come up with. In this work, we explore whether materials science knowledge can be automatically inferred from textual information contained in journal papers. Using a data set of 0.5 million polymer papers, we show, using natural language processing methods that vector representations trai ...[more]