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This repo contains the scripts to attempt to remove the mfs bias from a WSD system.
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lrec2016
output
python_modules
resources
scripts
INSTALL.md
LICENSE.md
README.md
Visualizations in dissertation.ipynb
WORDNET_LICENSE.md
extract_features.py
feature_extraction.sh
feature_preparation.sh
install.sh
lrec2016.sh
random_forest.sh
score.sh

README.md

#WSD MFS classifier

This repo contains the scripts to attempt to remove the mfs bias from a WSD system.

##Installation##

  • Clone this repository:
    • see INSTALL.md (which is placed in the same folder as this README) for information about dependencies
    • bash install.sh

##USAGE##

The full experiment should be replicated by running:

  • bash feature_preparation.sh (takes hours)
  • bash feature_extraction.sh
  • bash random_forest.sh (takes hours)
  • bash score.sh (it is also possible to just run this part)

the results can be found in the folder output.

The input for the tables in the paper can be regenerated by running: bash lrec2016.sh

##Contact##


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