Community-run, formal evaluations and manually annotated text corpora are critically
important for advancing biomedical text-mining research. Recently in BioCreative V, a new …

Community-run formal evaluations and manually annotated text corpora are critically
important for advancing biomedical text mining research. Recently in BioCreative V, a new …

Manually curating chemicals, diseases and their relationships is significantly important to
biomedical research, but it is plagued by its high cost and the rapid growth of the biomedical …

Background Due to the importance of identifying relations between chemicals and diseases
for new drug discovery and improving chemical safety, there has been a growing interest in …

This article describes our work on the BioCreative-V chemical–disease relation (CDR)
extraction task, which employed a maximum entropy (ME) model and a convolutional neural …

Mining chemical-induced disease relations embedded in the vast biomedical literature could
facilitate a wide range of computational biomedical applications, such as …

Considering recent progress in NLP, deep learning techniques and biomedical language
models there is a pressing need to generate annotated resources and comparable …

Identifying chemical–disease relations (CDR) from biomedical literature could improve
chemical safety and toxicity studies. This article proposes a novel syntactic and semantic …

Mining relations between chemicals and proteins from the biomedical literature is an
increasingly important task. The CHEMPROT track at BioCreative VI aims to promote the …

In this article, we describe our system for the CHEMPROT task of the BioCreative VI
challenge. Although considerable research on the named entity recognition of genes and …