Literature Mining
6 papers with code • 0 benchmarks • 0 datasets
The task where the publication texts are used to mine knowledge using NLP
Benchmarks
These leaderboards are used to track progress in Literature Mining
Most implemented papers
The unknown knowns: a graph-based approach for temporal COVID-19 literature mining
Originality/value To the authors’ knowledge, this is the first study to propose a holistic framework that includes encoding the scientific knowledge in a semantic graph, demonstrates an evolutionary examination of past and ongoing research and offers scientists with tools to generate new hypotheses and research directions through predictive modeling and deep machine learning techniques.
SciQu: Accelerating Materials Properties Prediction with Automated Literature Mining for Self-Driving Laboratories
As a proof of concept, we predicted the refractive index of materials using data extracted from numerous research articles with SciQu, considering input descriptors such as space group, volume, and bandgap with Root Mean Square Error (RMSE) 0. 068 and R2 0. 94.
DiMB-RE: Mining the Scientific Literature for Diet-Microbiome Associations
A tremendous amount of knowledge has been amassed from experimental studies on diet, human metabolism and microbiome.
Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs
Growing evidence suggests that social determinants of health (SDoH), a set of nonmedical factors, affect individuals' risks of developing Alzheimer's disease (AD) and related dementias.
Learning the rules of peptide self-assembly through data mining with large language models
Peptides are ubiquitous and important biologically derived molecules, that have been found to self-assemble to form a wide array of structures.
A foundation model for human-AI collaboration in medical literature mining
Here, we present LEADS, an AI foundation model for study search, screening, and data extraction from medical literature.
