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Hello,
I'm trying to run the jupyter for predicting the IMDB movie reviews, but on a different dataset. Basically the codebase is the same except the part that parse the dataset. My dataset has mul…
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## Checklist
- [x] I have verified that the issue exists against the `master` branch of AllenNLP.
- [x] I have read the relevant section in the [contribution guide](https://github.com/alle…
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I'm using a pretrained model for sentiment analysis, and I'm trying to assess its accuracy on my data. I want to generate predictions for my data and compare to the labels (supervised style accuracy).…
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As per the document, we can use
feats = dict([(word, True) for word in words + ngrams(words, 1)])
as feature set to classify, but I get the type error when I use.
TypeError: can only concatenate li…
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**Describe the bug**
According to TUTORIAL 2, classification model en-sentiment has been trained on IMDB dataset.
`evaluate()` function on en-sentiment model trained on IMDB produces 0 score wh…
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As of May 14, tutorial doesn't work out of the box anymore, and must be updated for the current AllenNLP version.
```
git clone https://github.com/allenai/allennlp-as-a-library-example.git
cd …
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HI, @krishkumar
Is it possible that makes from "image-classifier.playground" resemble to "movie-review-sentiment-classifier.playground "?
I want to enter the prediction code to "image-classifi…
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I recommend changing the following line in "Example: Text Classification of IMDb Movie Reviews Using BERT":
model = txt.text_classifier('bert', (x_train, y_train))
->
model = txt.text_classif…
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Thank you for submitting a TensorFlow documentation issue. Per our GitHub
policy, we only address code/doc bugs, performance issues, feature requests, and
build/installation issues on GitHub.
The…
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When two lines have the same "title" AND "year" AND "authors" keep only one (the first? the most complete?)
Below the three key in ISI and SCOPUS:
- title --> ISI = TI / Scopus = Title
- year -->…
tommv updated
3 years ago