Abstractive-Summarization-With-Transfer-Learning
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santhoshkolloju
Abstractive summarisation using Bert as encoder and Transformer Decoder
Thank you. I used your code to migrate to the Chinese dataset, but there was a problem in the prediction phase. The generated summary has always been one, without any...
ValueError: Unknown hyperparameter: position_embedder_type. Only hyperparameters named 'kwargs' hyperparameters can contain new entries undefined in default hyperparameters. I clone code, and run main.py without any code change, file 'model.py', line...
Getting this error. I am using tensorflow 1.10.0 and texar 0.2.1 Please help.
ImportError: DLL load failed while importing _pywrap_tensorflow_internal: The specified module could not be found. Happens when i try running preprocess.py file.
Hello, Thanks for providing the Transformer-based s2s models for abstractive text summarization, it helps me a lot. I run it on CNN and Daily Mail dataset and obtain the results...
In model.py line 114 ``` decoder = tx.tf.modules.TransformerDecoder(embedding=tgt_embedding, hparams=dcoder_config) ``` I am getting a type error that there is an unexpected keyword embedding passed into the TransformerDecoder. How did people...
I am training the model and it is taking longer than expected so I killed the process. However, when I am running inference.py, I am getting an error Traceback (most...
what specific value should be given to the test_batch_size? could anyone suggest?
Can you add a requirement.txt file of this project as I am getting different issues related to in compatible version of different modules
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Abstractive summarisation using Bert as encoder and Transformer Decoder