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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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Hi,
Thanks for sharing the code! I have a quick question that in "MASS-summarization/masked_dataset.py", it seems you chose multiple spans from src_items as targets:
```
masked_pos = []
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## Feature Request
Groupon needed a more flexible histogram aggregation. Support for central re-aggregation is also needed. Central aggregations is currently accomplished outside of telegraf.
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# ❓ Questions & Help
## Details
Hey , I use EncoderDecoderModel for abstractive summarization. I load the bert2bert model like this
model=EncoderDecoderModel.from_encoder_decoder_pretraine…
yhznb updated
4 years ago
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文本摘要里这篇论文的链接错了：
A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents - Arman Cohan(2018)
点进去是GENERATING WIKIPEDIA BY SUMMARIZING LONG SEQUENCES - Peter J. Liu(2018)的
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# ❓ Questions & Help
## Details
I tried using T5 and Bart but the abstraction summarization on scientific texts does not seem to give the results I want since I think they are both trained o…
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Hello.
I'd like to know if it's possible to adjust length of output summary?
ghost updated
4 years ago
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Hi!
I have tried to run the pre-trained model to test it on my dataset which consists of paragraphs as inputs and one line sentence as targets. The problem was when I saw the prediction it was extrac…
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Hi, thank you for the great library!
It looks like I've found some issue, here is my example of code:
```
from pysummarization.nlp_base import NlpBase
from pysummarization.nlpbase.auto_abstrac…
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How can I create an abstractive summary of a text document?