Summarization of Long Documents using Transformers

summarization.ipynb

Yes, Google's pegasus model is the state-of-the-art pre-trained model for abstractive text summarization.

Yes, Google's pegasus model is the state-of-the-art pre-trained model for abstractive text summarization.

I tried that too, I tried the pegasus model pretrained on cnn dataset available in huggingface. but its is also giving extractive results. If you have seen abstractive results could you please share that notebook or code.

Yes, Google's pegasus model is the state-of-the-art pre-trained model for abstractive text summarization.

I tried that too, I tried the pegasus model pretrained on cnn dataset available in huggingface. but its is also giving extractive results. If you have seen abstractive results could you please share that notebook or code.

Yes, i used the pretrained model from the below link , and it output the abstractive summaries.

https://towardsdatascience.com/how-to-perform-abstractive-summarization-with-pegasus-3dd74e48bafb

This link also has the fine tuning code , i fine tuned pegasus on my legal text dataset, but im unable to predict the summaries and evaluate the model. if you find or write the code share it with me as well.

Yes, the Google's pegasus model is the state-of-the-art pre-trained model for abstractive text summarization.

I tried that too, I tried the pegasus model pretrained on cnn dataset available in huggingface. but its is also giving extractive results. If you have seen abstractive results could you please share that notebook or code.

Yes, the Google's pegasus model is the state-of-the-art pre-trained model for abstractive text summarization.

I tried that too, I tried the pegasus model pretrained on cnn dataset available in huggingface. but its is also giving extractive results. If you have seen abstractive results could you please share that notebook or code.

For anyone who may run into an error when trying to download punkt, replace it with punkt_tab and that should fix it.