From paper, it mentioned

Instead, the training data generator chooses 15% of tokens at random, e.g., in the sentence my
dog is hairy it chooses hairy.

It means that 15% of token will be choose for sure.

From https://github.com/codertimo/BERT-pytorch/blob/master/bert_pytorch/dataset/dataset.py#L68,
for every single token, it has 15% of chance that go though the followup procedure.

y_hat should be [N, t], and tf.reduce_sum(y_hat, 1) should be [N,], I can't understand this if statement. And decoder_inputs should be [N, t], i think tf.concat((decoder_inputs, y_hat), 1) is wrong, should it be changed to tf.concat((decoder_inputs, y_hat[:,-1]), 1)

Since Trax is a successor of tensor2tensor (according to the release notes of tensor2tensor v1.15.0), it would be helpful if you could provide examples for more advanced machine learning tasks. An outstanding feature of tensor2tensor are the numerous (and useful) examples which Trax is currently lacking. Such examples would especi

Hi, we have some of your regex's in AllenNLP and Python has been warning us about them for a while.

https://github.com/huggingface/pytorch-openai-transformer-lm/blob/master/text_utils.py#L30

'''(-+|~+|!+|"+|;+|\?+|\++|,+|\)+|\(+|\\+|\/+|\*+|\[+|\]+|}+|{+|\|+|_+)'''<input>:1: DeprecationWarning: invalid escape sequence \?
<input>:1: DeprecationWarning: invalid escape sequence \?
<input

Responder version: 3.0.5
Laravel version: v5.5.45

In the config file, the documentation for filter_fields_parameter says:

The package can automatically filter the fields of transformed data from a query string parameter configured below. The technique is also known as sparse fieldsets. Set it to null to disable it.

However, when setting it to null I started getting `Array to string

In ZoomOutSlideTransformer if you have a page that has full size content, i.e. no margins, the content is partly visible in the pages next to it when they are currently shown. The issue can be seen in the provided screenshot.

As you can see, on the right side you can se half transparent images of the next page.
![device-2017-12-13-225502](https://user-images.githubusercontent.com/20989903/3396

The config file should be a class which works the same way as in: https://github.com/ricsinaruto/dialog-eval

Each parameter should be settable through the command line as well.

This repository is very helpful. The movie review example is very interesting. Please add more example, especially using bert and crf to do sequence labelling tasks.

I'm setting up an example application as documented on Github and I get this error:

FatalThrowableError in MappingFactory.php line 93:
Type error: Argument 1 passed to NilPortugues\Api\Mapping\MappingFactory::fromArray() must be of the type array, string given, called in /var/www/html/..../vendor/nilportugues/laravel5-json-api/src/NilPortugues/Laravel5/JsonApi/Mapper/Mapper.php on line 2

The space after the end of the paragraph.
https://developer.apple.com/documentation/uikit/nsmutableparagraphstyle/1532528-paragraphspacing

After migrate from Expo SDK32 to Expo SDK35 I get an error - 'Unable to resolve "react-native-svg" from "assets / icon / cancel-exit.svg"'. I installed the library as you write in the readme file.

My package.json is the following:
"dependencies": {
"expo": "^35.0.0",
"expo-asset": "~7.0.0",
"expo-camera": "~7.0.0",
"expo-constants": "~7.0.0",
"expo-file-system": "~7.0.