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Users who don't know exactly what they are looking for in the catalog should be able to provide a natural language query that can be used to generate a catalog search query.
Existing work has been done by CRIM and can be found here:
- https://github.com/crim-ca/pavics-jupyter-images/tree/master/nlp/notebooks/nl2query
- https://github.com/crim-ca/pavics-jupyter-images/blob/master/nlp/notebooks/nl2query/NL2Query_showcase.ipynb (examples)
To enable the NLP jupyter kernel and python notebooks in a PAVICS deployment use these settings:
TODO:
- improve the baseline algorithm developed by CRIM
- create a front end that receives the natural language query from the user
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