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Word embeddings for Transfer Learning using Relational Dependency Networks

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TransBoostler

TransBoostler is a transfer learning-based framework that takes advantage of pre-trained word embedding model to map predicates by similarity.

Installation

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

Usage

import foobar

Contributing

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.

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