- Introduction about semantic scholar engine
- semantic search engine code
- S2ORC: The Semantic Scholar Open Research Corpus github
- For more methods about literature mapping
- https://api.semanticscholar.org/api-docs/graph
- https://www.semanticscholar.org/product/api
- https://api.semanticscholar.org/corpus
- Semantic Scholar Academic Graph (S2AG) provides monthly snapshots of research papers published in all fields as an easy-to-use JSON archive. Download paper archive version per month in here
- Search paper (Note: the API function only return 10 results per time, call the API for multiple times to collect all result.)
- Get details about a paper
- Get details about authors
- Get details about paper citations
- Get details about paper refernnces
- (...still working on)
-SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allocation with local explanations using the classic Shapley values from game theory and their related extensions (see papers for details and citations).