Our toolkit is designed to be flexible, and allows researchers to configure similarity scores and manually inspect potentially unmerged results. This feature makes it so the best matching capabilities can be determined for each specific use case by end users.
This is a tracking issue for optimizing performance without compromising accuracy. We welcome community feedback and contributions to further refine the toolkit.
Our toolkit is designed to be flexible, and allows researchers to configure similarity scores and manually inspect potentially unmerged results. This feature makes it so the best matching capabilities can be determined for each specific use case by end users.
This is a tracking issue for optimizing performance without compromising accuracy. We welcome community feedback and contributions to further refine the toolkit.