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text-to-text

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This repository contains code and resources for abstractive text summarization (TS) using a novel framework that leverages knowledge-based word sense disambiguation (WSD) and semantic content generalization to enhance the performance of sequence-to-sequence (seq2seq) neural-based TS.

  • Updated Sep 29, 2023
  • Jupyter Notebook

This project demonstrates the use of Transformers for text generation using the T5 model. The project includes the necessary code for training the model on a custom dataset and generating new text.

  • Updated Nov 5, 2024
  • Jupyter Notebook

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