Moeinh77/Transformers-for-abstractive-summarization
Abstractive Text Summarization with Transformer networks implemented (from scratch) using Keras and Tensorflow
This project helps you distill lengthy news articles or other texts into concise, easy-to-read summaries. You provide the original, longer text, and it generates a brand-new, shorter version that captures the main ideas without just copying sentences. This is perfect for journalists, content creators, or anyone who needs to quickly grasp the essence of many documents.
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Use this if you need to automatically create brief summaries of news articles, reports, or other textual content to save time and improve readability.
Not ideal if you need an extractive summary that only pulls exact sentences from the original text, or if you require extremely high accuracy for legal or highly sensitive documents without human review.
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Jan 21, 2021
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