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QualiaAnnotationUI

A flask-based prototype UI for annotation of qualia relations between FrameNet Lexical Units inferred from an external knowledge base

image

How to install and run

Clone the repository cd to it.

git clone https://github.com/slowwavesleep/QualiaAnnotationUI.git

cd QualiaAnnotationUI

Create and activate a virtual environment for the project. I suggest using Anaconda.

conda env -n qualia python=3.7

conda activate qualia

Install the requirements.

pip install -r requirements.txt

Run the application.

flask run

Annotating a different dataset

To annotate a different dataset replace qualia_relations.csv in resources directory with a new file. Or alternatively, change data_path in config.yml to point to the new file. In both cases the file must in CSV format (comma-separated specifically) with the following columns:

  • index
  • id_lu_1
  • word_1
  • pos_1
  • fnDefinition_1
  • relation
  • id_lu_2
  • word_2
  • pos_2

Data persistence

The tool uses SQLite to persist user annotations between the launches. Made annotations may be downloaded in CSV format.