Text-Summarizer-with-WSD

Public

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.

flask-application hmtl named-entity-recognition ner nlp pos-tagging python summarization word-sense-disambiguation wsd

Creat：2023-04-05T23:52:37

Update：2024-07-21T19:25:48

Stars

Stars Increase

Related projects

Transformers

Hot

bert

? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

148148

2年前

+109today

Awesome Mac

Hot

app

? Now we have become very big, Different from the original idea. Collect premium software in various categories.

85813

9个月前

+103today

Superset

analytics

Apache Superset is a Data Visualization and Data Exploration Platform

67501

4个月前

+38today

ChatGPT

? ChatGPT Desktop Application (Mac, Windows and Linux)

53989

4个月前

+22today

30 Days Of Python

Hot

30-days-of-python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

48359

4个月前

+77today