Search Results for author:
Found 3 papers, 2 papers with code
MapperGPT: Large Language Models for Linking and Mapping Entities
Here we present MapperGPT, an approach that uses LLMs to review and refine mapping relationships as a post-processing step, in concert with existing high-recall methods that are based on lexical and structural heuristics.
Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learning
Creating knowledge bases and ontologies is a time consuming task that relies on a manual curation.
KG-Hub -- Building and Exchanging Biological Knowledge Graphs
Knowledge graphs (KGs) are a powerful approach for integrating heterogeneous data and making inferences in biology and many other domains, but a coherent solution for constructing, exchanging, and facilitating the downstream use of knowledge graphs is lacking.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
