glossbert 1.0.6

Python package for Word Sentence Disambiguation (WSD) using GlossBERT model and NLTK WordNet.

GlossBERT Wrapper Class

This Python package provides a convenient wrapper for using GlossBERT, allowing you to easily perform word sense disambiguation (WSD) by searching WordNet through NLTK.

The source code in this repository is adapted from this script from the original GlossBERT project.

Features

• Simplifies the use of GlossBERT for WSD tasks.
• Provides integration with WordNet via NLTK.

Installation

Install the package using pip:

pip install glossbert

Alternatively, install directly from the GitHub repository:

pip install git+https://github.com/cruzlorite/glossbert.git

Usage

Here is an example of how to use the GlossBERT class:

>>> from glossbert import GlossBERT
>>> 
>>> # initialize the GlossBERT instance
>>> gloss = GlossBERT()
>>> 
>>> # define a sentence and specify the target word
>>> sent = "I love dogs!"
>>> start_idx, end_idx, target_word = 7, 11, "dog"
>>> 
>>> # perform word sense disambiguation
>>> gloss(sent, start_idx, end_idx, target_word)
[
    (0.9973864, Synset('dog.n.01')),
    (0.025929835, Synset('frank.n.02')),
    (0.0030947044, Synset('dog.n.03')),
    (0.0024504508, Synset('cad.n.01')),
    (0.001387376, Synset('andiron.n.01')),
    (0.00057538506, Synset('pawl.n.01')),
    (0.0005529578, Synset('chase.v.01')),
    (0.00046094437, Synset('frump.n.01'))
]

License

This project is licensed under the MIT License, consistent with the original GlossBERT project.

Acknowledgements

Special thanks to the authors of the original GlossBERT for their foundational work.