chen0040 keras-text-summarization issues

chen0040 / keras-text-summarization

Text summarization using seq2seq in Keras

MIT License

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issues

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Issue #7 - Added missing `-r` flag on pip command

#20 lranasingha opened 2 years ago
0
Path Error

#19 safakkbilici closed 3 years ago
1
error at rnn->RecursiveRNN3

#18 vvssttkk opened 5 years ago
0
the best model for EN

#17 vvssttkk opened 5 years ago
1
question about the initial_state of decoder

#16 NiFangBaAGe opened 5 years ago
0
How the seq2seq_predict.py fetching the test set??

#15 JumarAlam opened 5 years ago
0
Explain about result

#14 TuanHAnhVN opened 5 years ago
1
content file .npy

#13 vvssttkk opened 5 years ago
0
Support for Python2.7

#12 bikramkhastgir opened 5 years ago
0
the best models for RU

#11 vvssttkk opened 5 years ago
1
No module named 'keras_text_summarization'

#10 avinsit123 opened 5 years ago
5
Accuracy not improving on custom data and generated headline is entirely made up of UNK

#9 SampannaKahu opened 5 years ago
0
Could you Please update with Attention seq2seq?

#8 mysuli opened 5 years ago
1
The correct usage shall be `pip install -r requirements.txt` in README.md

#7 tcloaa opened 6 years ago
1
What to improve further?

#6 xHansonx opened 6 years ago
1
hi

#5 kim019 closed 6 years ago
4
Why does the generated sentence have little to do with the original?

#4 uhauha2929 opened 6 years ago
1
Similar task has some problem

#3 Tigeryang93 opened 6 years ago
5
About Training Data

#2 ersinyar opened 6 years ago
5
The implementation can be found in keras_text_summarization/library/seq2seq.py

#1 Mandrewoid closed 6 years ago
2