Biomedical relation extraction via knowledge-enhanced reading comprehension

Exploiting sequence labeling framework to extract document-level relations from biomedical texts

(2020) Zhiheng Li et al.   BMC BIOINFORMATICS

Knowledge-guided convolutional networks for chemical-disease relation extraction

(2019) Huiwei Zhou et al.   BMC BIOINFORMATICS

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

(2019) Jinhyuk Lee et al.   BIOINFORMATICS

An effective neural model extracting document level chemical-induced disease relations from biomedical literature

(2018) Wei Zheng et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Chemical-induced disease relation extraction with dependency information and prior knowledge

(2018) Huiwei Zhou et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Exploiting graph kernels for high performance biomedical relation extraction

(2018) Nagesh C. Panyam et al.   Journal of Biomedical Semantics

A document level neural model integrated domain knowledge for chemical-induced disease relations

(2018) Wei Zheng et al.   BMC BIOINFORMATICS

Chemical-induced disease extraction via recurrent piecewise convolutional neural networks

(2018) Haodi Li et al.   BMC Medical Informatics and Decision Making

The Comparative Toxicogenomics Database: update 2019

(2018) Allan Peter Davis et al.   NUCLEIC ACIDS RESEARCH

CD-REST: a system for extracting chemical-induced disease relation in literature

(2016) Jun Xu et al.   Database-The Journal of Biological Databases and Curation

Chemical-induced disease relation extraction with various linguistic features

(2016) Jinghang Gu et al.   Database-The Journal of Biological Databases and Curation

Extraction of chemical-induced diseases using prior knowledge and textual information

(2016) Ewoud Pons et al.   Database-The Journal of Biological Databases and Curation

Improving chemical disease relation extraction with rich features and weakly labeled data

(2016) Yifan Peng et al.   Journal of Cheminformatics

Deep learning

(2015) Yann LeCun et al.   NATURE