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Keras-Based LSTM Conv model for Question Selection

keras_qa_based_question_selection

This code is remplementation of lstm+cnn of Improved Representation Learning for Question Answer Matching

You also can see that I utilize the gesd and weights shared method in APPLYING DEEP LEARNING TO ANSWER SELECTION: A STUDY AND AN OPEN TASK

Dataset is InsuranceQA, Now precision in dev is 65% when epoch = 100

Train Step

python main.py train

Evaluate Step

python main.py evaluate 100

of course, you can change the second param which is epoch number.