A corpus of plant-disease relations in the biomedical domain.

ABSTRACT:

Background

Many new medicines have been derived from natural sources such as plants, which have a long history of being used for disease treatment. Thus, their benefits and side effects have been studied, and plant-related information including plant and disease relations have been accumulated in Medline articles. Because numerous articles are available in Medline and are written in natural language, text-mining is important. However, a corpus of plant and disease relations is not available yet. Thus, we aimed to construct such a corpus.

Methods and results

In this study, we designed and annotated a plant-disease relations corpus, and proposed a computational model to predict plant-disease relations using the corpus. We categorized plant and disease relations into four types

SUBMITTER: Kim B 

PROVIDER: S-EPMC6713337 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature