jananiarunachalam / research-paper-summarization Goto Github PK

Does your pickle file have a dataframe with only these columns: "text", "filenames", "highlights", "body"? Or are there any additional columns that you didn't mention in the comment before reading the pickle file in the abstract summarization related iPython notebook file?

hi jananiarunachalam.
can you please share the link of the google drive that you store the data set in. I tried to download it but I couldn't

I have tried a lot.But always getting full text file but "autor-highlights"part is missing.
Can you please once that "are you able to do that same things are not"?
Thanks in advance.

Can someone give me the model.h5 file, please? I am having trouble with the following error:

 Exception encountered when calling layer "tf.keras.backend.rnn" (type TFOpLambda).

You are passing KerasTensor(type_spec=TensorSpec(shape=(None, 1000), dtype=tf.float32, name=None), name='tf.nn.softmax_1/Softmax:0', description="created by layer 'tf .nn.softmax_1'"), an intermediate Keras symbolic input/output, to a TF API that does not allow registering custom dispatchers, such as `tf.cond`, `tf.function`, gradient tapes, or `tf.map_fn `. Keras Functional model construction only supports TF API calls that *do* support dispatching, such as `tf.math.add` or `tf.reshape`. Other APIs cannot be called directly on symbolic Kerasinputs/outputs. You can work around this limitation by putting the operation in a custom Keras layer `call` and calling that layer on this symbolic input/output.

It help me for final project, I'm 20 years old. Thank you

For my academic research purpose, I am trying to download the dataset from Elsevier, but getting stuck to download research highlights part.
It is downloading the full paper with all tag sections only "author-highlights" tag is not downloading in the xml file.
It is very urgent to pursue my research work.
I intend to download dataset other than computer science.
One year ago i have already downloaded the computer science dataset(full paper and abstract).
But now i am unable to do that.
So I humbly request you to help me to overcome this issue.
Hoping to hear from you soon.
Thanking you for your kind consideration.