pointer-generator
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abisee
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
Traceback (most recent call last): File "run_summarization.py", line 11, in from batcher import Batcher File "/content/drive/MyDrive/pointer-generator-master/batcher.py", line 4, in import Queue ModuleNotFoundError: No module named 'Queue' I am getting this...
I trained the model with the default parameters, and evaluated at the step 27847. (I didn't do the coverage training, just launched the training with default parameters) These are the...
The model had a loss of 5 and there have always the same generated summary (for all articles ) : [UNK] [UNK] , 28 , has been charged with two...
How to implement tri-gram or ngram blocking in this project? Could you please help.
I am using this command to run: python run_summarization.py --mode=decode --data_path=./finished_files/chunked/test_* --vocab_path=./finished_files/vocab --log_root=./pretrained_model --max_enc_steps=400 --max_dec_steps=120 --coverage=1 But I am getting this warning and nothing happens: WARNING:tensorflow:Bucket input queue is empty...
@abisee I have set up this repo. now all my output are the selection of sentences from the original text. how this can be Abstractive? even test data has the...
Anyone got NAN ? 
I am getting same generated summary for every article in the example queue in decode mode. Any help to fix this issue would be appreciated 
when i run "python run_summarization.py --mode=decode --data_path=******/chunked/val_* --vocab_path=******/vocab --log_root=******/a/log/directory --exp_name=myexperiment" ,the generated summary is consist of UNK,could you please do me a favor?
