keras_qanet's People
keras_qanet's Issues
restart training
implement Dataset generator
implement Dataset generator for train and dev
add test for layers
update test for data.py
update readme
accept dynamic shape for LightQANet
fix bug to compute answer token span
split a file
split a file to model.py and data.py and main.py
auto paramter tuning
visualize attention
dot to conv1
fix bug in evalute
update unit test for trainer.py
check output of adversarial input
For example, original question: "who is U.S.A. president." convert to "where is U.S.A. president."
Output may not be changed.
add readme
support dynamic shape in model
support dynamic shape input like Input((None,))
for model
use early stopping
add evaluator
update README.md
split train file to train file and dev file
add test cases
implement metric
implement a EM (Exact Match) and F1 score
enable to compute EM and F1 score
update test using open
mock_open.return_value.__iter__.return_value = [[1,2,3],[1,2,3]]
fix bug in squad (em and f1 scores are too low)
tokenize answer
load word embedding
add method to build small dataset
implement new model
implement concatattention
add option to select dataset
add feedforward test for model
learning rate schduleing
update the method to compute vocabulary
use DictReader instead of reader for csv file
fix coattention layer
add EMA
add exponential moving average
add trainer
add test for models
update test for utils
check co attention
add dropout and stochastic depth layer
visualize attention scores
visualize attention scores for dev set for analysis
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