Comments (4)
It is trained for Giga Word Dataset
from tensorflow-summarization.
then how it generates short sentences summary for duc2003 and duc2004?
from tensorflow-summarization.
its similar like testing on other articles.............like if you want to test it on your custom dataset then it will give good results....but that doesn't means that it is trained on your dataset
from tensorflow-summarization.
can we use the pre-trained model on Giga Word Dataset to get the summary of customer reviews?
from tensorflow-summarization.
Related Issues (20)
- doc_dict and sum_dict? HOT 1
- Evaluation metric
- Tensorboard Visulasation HOT 1
- csv instead of txt file HOT 1
- AttributeError HOT 9
- No valid.article.filter and valid.title.filter files
- Can work on CUDA 9.1?
- InvalidArgumentError HOT 1
- Beam Search Algorithm
- Purpose of doc_dict.txt and sum_dict.txt HOT 2
- How to Deploy it in Django Project
- Summary Length based on data size
- How to train the modal with my own data set
- Unable to resolve below error Error while test pretrained model. Geting error in create model (in bigrumodel.py [line number 90] while setting up attention variable) before model.saver.restore is called . My tensorflow version is 1.5 and this code is in version 1.1 ERROR: TypeError: __new__() missing 3 required positional arguments: 'time', 'alignments', and 'alignment_history'
- How to do Rouge Evaluation?
- how to increase the number of word output in the final summary?
- Benchmarks?
- list index out of range
- How can i train further using the pretrained checkpoint files? HOT 1
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from tensorflow-summarization.