Annotator toolkit for creating manual queries from clinical decision support scenarios.
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Information Retrieval Query Generation

Annotator toolkit for creating manual queries from information retrieval experiments / systems.

Uses AnjularJS, Django


All the data was provided to in CSV format. The process to setup is as follows:

  • Run ./ syncdb to create the db. Follow the instructions.
  • Run the python db.sqlite3 all-trec-cds-topics.json to import the set of queries. Or choose alternative JSON import file.
  • Start the webserver with ./ runserver
  • Go to http://localhost:8000/<n>, where n is the nth query you want to start annotating.

Getting data out

See http://localhost:8000/queries for the REST get for all queries and corresponding keywords.