TransBoostler is a transfer learning-based framework that takes advantage of pre-trained word embedding model to map predicates by similarity.
To run TransBoostler, one might install the following Python packages:
pip install ekphrasis
pip install scipy==1.6.3
pip install gensim==4.0.1
pip install git+https://github.com/ThaisLuca/boostsrl-python-package.git
pip install git+https://github.com/ThaisLuca/wmd-relax
pip install -U scikit-learn==0.24.2
pip install psutil
pip install unidecode
pip install pandas
pip install pyemd
pip install -U pip setuptools wheel
pip install -U spacy
pip install nltk
And download the following NLTK
python nltk_downloads.py
import foobar
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.