Extraction of chemical–protein interactions from the literature using neural networks and narrow instance representation
The scientific literature contains large amounts of information on genes, proteins, chemicals
and their interactions. Extraction and integration of this information in curated knowledge …
and their interactions. Extraction and integration of this information in curated knowledge …
Protein-protein interaction article classification: A knowledge-enriched self-attention convolutional neural network approach
In this paper, we present a domain knowledge-enriched self-attention convolutional neural
network approach to classify PPI articles. First, two knowledge embeddings are proposed to …
network approach to classify PPI articles. First, two knowledge embeddings are proposed to …
KeSACNN: a protein-protein interaction article classification approach based on deep neural network
L Luo, Z Yang, L Wang, Y Zhang… - … Journal of Data …, 2019 - inderscienceonline.com
Automatic classification of protein-protein interaction (PPI) relevant articles from biomedical
literature is a crucial step for biological database curation since it can help reduce the …
literature is a crucial step for biological database curation since it can help reduce the …