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Hii, as mentioned in the paper ROUGE1- F measure is used to select sentences for masking. I can't find the code to do the same. Please point to the file in which this functionality is implemented.
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How can I create an abstractive summary of a text document?
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I'm following these steps to summarize my document -
1) download CNN\DM fine-tuned checkpoint
2) preprocess your text with BERT-tokenization, and you can refer to our preprocess scripts
3) use f…
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@sshleifer
## Environment info
- `transformers` version: 3.0.2
- Platform: macOS-10.14.6-x86_64-i386-64bit
- Python version: 3.8.5
- PyTorch version (GPU?): 1.6.0 (False)
- Tensorflow version …
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Ví dụ 1: Để đọc được nhiều, nắm bắt tin tức nhanh và tránh bội thực thông tin, mình có thể đọc tóm tắt từ bài viết, bài báo thay vì đọc hết.
Ví dụ 2: User yêu cầu thông tin về bệnh Nhức đầu, mình …
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# 🐛 Bug
## Information
Attempting to use BertAbs with the official example script for summarization: https://github.com/huggingface/transformers/tree/master/examples/summarization/bertabs#summar…
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Hi,
What changes can be made to implement length based summarization?
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Hi,
First of all Great paper!
Lately, I have been doing abstractive summarization tasks separately for an agent and a customer, given a conversation transcript between both. We have total labeled d…
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The [Levenshtein transformer](https://arxiv.org/pdf/1905.11006.pdf) paper reports 0.75+ improvements in ROUGE-L in the abstractive text summarization task on Gigaword over the baseline transformer.
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Hi Team,
am using the pysummarization technique to summarize my document. with this library am able to get the top 10 ranked sentences only. if i need more then 10 ?
And how this 10 sentences th…