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Currently results for both abstractive and extractive summarization is in the same table.
The ROUGE score for these are not comparable. Maybe extractive and abstractive summarization should be sepa…
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Hi,
I am currently trying to use the pretrained cnn_dailynews language model. However, when I ran the command for training a final seq2seq model:
`python train.py /private/home/edunov/cnn-dailymail…
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After I run this
`python $FAIRSEQ/generate.py . --path cnn_dailymail.pt --remove-bpe --gen-subset test \
--batch-size 1 --min-len 60 --no-repeat-ngram 3 | tee cnn_dailymail.out`
in my code try…
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Hey
I would want to restrict the output size by words/characters. Are there any methods?
I looked at `max_length` & `max_tgt_len` however they seem to not be working.
I set
`recall_eval` as Fals…
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Hi there,
Thanks for sharing your work, I am so thankful for the detailed documentation and reproducibility of the code. It has been pretty straightforward to run it so far!
I wanted to read a b…
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Implementing text summarization techniques in mlpack:
- Pointer generator networks [abstractive]
Paper: https://arxiv.org/pdf/1704.04368.pdf
Dataset - CNN/Daily Mail news
Preliminary ta…
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looking at the code it seems 256 is the max sequence length for PositionalEmbedding with emb_dim being the dimension from the type of the roberta model. I just wanted to confirm this or is the value 5…
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I'm trying to emulate A Deep Reinforced Model for Abstractive Summarization by
Romain Paulus, Caiming Xiong, Richard Socher
And I am trying to verify if everything is implemented correctly.
Thi…
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Hi while we are at it, you have note cited the original creators of these models, that is a loss to them too. You simply collect an reapply it in a finance domain, that does not absolve you from cita…
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Hello, i read your parper "A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss." recently.
I want to implement your model, but it's too hard to preprocess the CNN/…