Recent advances in biomedical literature mining
The recent years have witnessed a rapid increase in the number of scientific articles in
biomedical domain. These literature are mostly available and readily accessible in …
biomedical domain. These literature are mostly available and readily accessible in …
Event extraction for systems biology by text mining the literature
Systems biology recognizes in particular the importance of interactions between biological
components and the consequences of these interactions. Such interactions and their …
components and the consequences of these interactions. Such interactions and their …
Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research
Background Current biomedical research needs to leverage and exploit the large amount of
information reported in scientific publications. Automated text mining approaches, in …
information reported in scientific publications. Automated text mining approaches, in …
Extracting chemical–protein relations with ensembles of SVM and deep learning models
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 …
increasingly important task. The CHEMPROT track at BioCreative VI aims to promote the …
A comprehensive benchmark of kernel methods to extract protein–protein interactions from literature
The most important way of conveying new findings in biomedical research is scientific
publication. Extraction of protein–protein interactions (PPIs) reported in scientific …
publication. Extraction of protein–protein interactions (PPIs) reported in scientific …
[PDF][PDF] Extracting complex biological events with rich graph-based feature sets
We describe a system for extracting complex events among genes and proteins from
biomedical literature, developed in context of the BioNLP'09 Shared Task on Event …
biomedical literature, developed in context of the BioNLP'09 Shared Task on Event …
Chemical-induced disease relation extraction via convolutional neural network
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 …
extraction task, which employed a maximum entropy (ME) model and a convolutional neural …
Biomedical text mining: a survey of recent progress
The biomedical community makes extensive use of text mining technology. In the past
several years, enormous progress has been made in develo** tools and methods, and the …
several years, enormous progress has been made in develo** tools and methods, and the …
Bridging semantics and syntax with graph algorithms—state-of-the-art of extracting biomedical relations
Research on extracting biomedical relations has received growing attention recently, with
numerous biological and clinical applications including those in pharmacogenomics, clinical …
numerous biological and clinical applications including those in pharmacogenomics, clinical …
Evaluating contributions of natural language parsers to protein–protein interaction extraction
Motivation: While text mining technologies for biomedical research have gained popularity
as a way to take advantage of the explosive growth of information in text form in biomedical …
as a way to take advantage of the explosive growth of information in text form in biomedical …