seq2seq-summarizer
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Pointer-generator reinforced seq2seq summarization in PyTorch
Thank you for this excellent job, I still have some questions about rl_loss, `rl_loss = neg_reward * sample_out.loss`, the `neg_reward` is obtained by `greedy_rouge - sample_rouge`, and the `sample_out.loss` means...
I'm really looking for an effective word-level summarization solution. It isn't clear to me how to turn off the "generator" part of the pointer-generator network. Let me know if this...
Hello Do you think you can include the pre-trained models anytime soon ? And how long did it take to train your model ?
I run these codes on Google Colab. 1. about Rouge I download ROUGE-1.5.5.pl from network and I just put this file under the folder without doing anything. I do not...