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plz help me to understand how to select the next word to be predicted and context for it.
thank you
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Hi,
I am running your code on a news summarization task similar to the CNN and Dailymail datasets. It looks okay in the beginning but at some point (in epoch 1) gnorm starts to increase which lead…
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Hi,
I've received the following error when trying to summarize the body of this news article:
https://www.theguardian.com/media/2016/jun/19/sun-times-brexit-in-out-shake-it-all-about
The error foll…
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While testing, I am encountering the following error:
```
Traceback (most recent call last):
File "execute.py", line 294, in
decode()
File "execute.py", line 227, in decode
predicte…
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I am looking for news paper summarization tool that works on Sequence to Sequence. I want to know how I can apply the CNTK for text/news summarization and what are the datasets needed for training the…
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when i am printing the imported summaries from the pickled file, its alright. It's fully printed in its encoded form. Vec_texts also prints fine. But vec_summaries_reduced and vec_texts_reduced return…
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Following the recent refactor of the tokenizer API, it's now much easier to add additional tokenizers.
Before we'll add it to the extnesion API, let's first add a Chinese one.
A few notes on t…
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I added an additional field to tt_address table: tx_ttaddressrtefield_rtecontent
This field is configured to appear as RTE field in Typo3 backend.
The output in the fluid partial template Address…
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- [x] Learning outcomes
1. Identify theories, hypotheses, and methods used in empirical political science research.
2. Apply different methods to political science research questions.
3. Anal…
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i trained the model using the toy data ,then i decode it the result of decoding is very strange
exapmple :**output= for **
the lastest runing_arg_loss is about 0.002
why cause it? IS the data s…