Comments (2)
Pamulapati13
commented on August 17, 2024
It contains all the unique words in the doccuments and summaries.
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hannesb0
commented on August 17, 2024
Thanks for your answer!
Am I right in assuming, that the sum_dic.txt file also contains some abbreviations, e.g. pm for prime minister?
Because if not, why would I need two separate dictionaries and could not use one and the same for the documents and the summaries?
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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
- 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?
- Pretrained model is trained on? HOT 4
- Benchmarks?
- list index out of range
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