Fine-tuning large neural language models for biomedical natural language processing

Dataset-aware multi-task learning approaches for biomedical named entity recognition

(2020) Mei Zuo et al.   BIOINFORMATICS

DeepEventMine: End-to-end Neural Nested Event Extraction from Biomedical Texts

(2020) Hai-Long Trieu et al.   BIOINFORMATICS

Highly accurate classification of chest radiographic reports using a deep learning natural language model pretrained on 3.8 million text reports

(2020) Keno K Bressem et al.   BIOINFORMATICS

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

(2019) Jinhyuk Lee et al.   BIOINFORMATICS

Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research

(2015) Àlex Bravo et al.   BMC BIOINFORMATICS

NCBI disease corpus: A resource for disease name recognition and concept normalization

(2014) Rezarta Islamaj Doğan et al.   JOURNAL OF BIOMEDICAL INFORMATICS

The DDI corpus: An annotated corpus with pharmacological substances and drug–drug interactions

(2013) María Herrero-Zazo et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Accelerating literature curation with text-mining tools: a case study of using PubTator to curate genes in PubMed abstracts

(2012) C.-H. Wei et al.   Database-The Journal of Biological Databases and Curation

Overview of BioCreative II gene mention recognition

(2008) Larry Smith et al.   GENOME BIOLOGY