Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Self-supervised learning of entity compositions #108

Open
kristinlindquist opened this issue Jul 12, 2023 · 0 comments
Open

Self-supervised learning of entity compositions #108

kristinlindquist opened this issue Jul 12, 2023 · 0 comments

Comments

@kristinlindquist
Copy link
Contributor

  • Learn how entity concepts are represented in words and sub-concepts
  • e.g. XYZ Inhibitor, XYZ Monoclonal Antibody, XYZ Humanized Monoclonal Antibody
  • Learn from ontologies:
    • Parent/child relationships; or more aptly, general vs specific concepts
    • Compositions: e.g. guess valid XYZs for "Monoclonal Antibodies" via masking and time-wise cross validation (e.g. ontology from 2020 vs 2023)
  • Learn via grounding
    • molecular and chemical fingerprinting
    • Causal models of biological processes
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant