Text-Summarizer-with-WSD

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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

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