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pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

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Thank you for your contribution sir. I want to know few things 1. During test time, how to feed the **.story** file and get the summary? 2. At decoding step,...

I was training by chinese weibo data ,but when running decode.py,it failed to calculate rouge score .This is the issue which have the same problem but still remain to be...

I have some texts that I would like to summarize using this model. Each text is stored in a json file with the following format. It has an empty id...

any idea about the training time if trained in google Collab ? @atulkum how long it took to train?

Could anyone provide with a pretrained model please

So when I trained the model initially with coverage off for 500k iterations, now what i would like to do is use this same model and further fine tune it...

Hello, i would like to use pre-trained word embedding, which code will i change. Thank you

From: https://github.com/abisee/pointer-generator/blob/master/beam_search.py#L111 In decoding words, we change the token id to the unkown id if t

We wanna reduce the forward and backward state, so we need to concatenate the forward state and backward state, then go through a nn.Linear module to let 2 * hidden_dim...