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#

text-to-text

Here are 34 public repositories matching this topic...

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 Jan 26, 2025
  • Jupyter Notebook

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