I'm still cleaning up this repo. Will release the final version soon.

MEN: https://aclweb.org/aclwiki/MEN_Test_Collection_(State_of_the_art)

SimLek-999: https://fh295.github.io/simlex.html

--min_freq to set the minimum threshold of triple occurrence.

--pixie_dim to set the dimension of pixie, which is 100.

--data_pach

--pca-path

python3 preprocessing.py \
    --VG_path=/the_path_of_your_VG_zip_data/ \
    --pixie_dim=100 \
    --data_path=/the_path_of_your_filtered_transformed_data/ \
    --pca_path=/the_path_of_your_pca_transformed_data/ \
    --pca_only=True \
    --min_freq=100

--pixie_dim

--data_path

--parameter_path

--pca_path

--lr

--dr

epoch_num

python3 pixie_model.py \
    --pixie_dim=100 \
    --pca_path=/the_path_of_your_pca_transformed_data/ \
    --parameter_path='parameters/' \
    --lr=0.01 \
    --dr=5e-8 \
    --epoch_num=20

--pixie_dim: Dimension of the pixie, default is 100.

--dataset: This could be one of the 'MEN', 'Simlek', 'RELPRON' and 'GS2011'.

--data_path

--pca_path

--parameter_path: The path of the trained parameters 'world_parameters.p' and 'Lexical_parameters.p'.

--use_EVA_vocab: Boolean value to set if only use the vocab covered by the EVA work.

python3 evaluation.py --dataset=Simlek --pixie_dim=100 --data_path=pixie_data_2/ --pca_path=data_pca_2/