Skip to content
#

wsd

Here are 65 public repositories matching this topic...

This project is a text summarization system that leverages word sense disambiguation and pre-trained T5 models. It identifies and summarizes repeating words with different meanings, using spaCy for NLP and an n-gram model for candidate word selection. It compares summaries using Rouge scores and outputs the best one. Written in Python with Flask.

  • Updated Aug 17, 2023
  • Python

Improve this page

Add a description, image, and links to the wsd topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the wsd topic, visit your repo's landing page and select "manage topics."

Learn more