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Add new model for question answer matching #35

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merged 12 commits into from May 10, 2019

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commented May 10, 2019

The result is updated on Tutorial.md&Tutorial_zh_CN.md

chengfx and others added some commits May 8, 2019

Add ProcessorsScheduler Class (#25)
* Add new config about knowledge distillation for query binary classifier
update Tutorial_zh_CN.md (#31)
* Update Tutorial.md

* Update Tutorial.md

* fix CPU train --> GPU test, GPU train --> CPU test. But CPU train --> multi-GPU test will report error.

* remove ujson

* remove glove for model_zoo/demo/conf.json

* modify glove for Tutorial.md

* add nltk.download('punkt') in problem.py

* Create README_zh_CN.md

* modify README

* Update README_zh_CN.md

* Update README.md

* Update README.md

* Update README_zh_CN.md

* add requirements_new.txt

* modify requirements_new.txt

* fix CPU train --> multi GPUs test.

* Add CPU/GPU table for README.md

* Add CPU/GPU table for README_zh_CN.md

* Update README.md

* add Chinese support

* add license for core/Stopwords.py

* modify conf_chinese_sentiment_analysis_bilstm.json

* add nltk.download('stopwords')

* Update problem.py

* Update README.md

* Update README_zh_CN.md

* add language supported check

* modify dataset of chinese sentiment analysis

* Update Tutorial.md

* Update Tutorial.md

* Update Tutorial.md

* Update Tutorial_zh_CN.md
Use lazy loading instead of one-off loading (#28)
* Add new config about knowledge distillation for query binary classifier

* remove inferenced result in knowledge distillation for query binary classifier

* Add AUC.py in tools folder

* Add test_data_path into conf_kdqbc_bilstmattn_cnn.json

* Modify AUC.py

* Rename AUC.py into calculate_AUC.py

* Modify test&calculate AUC commands for Knowledge Distillation for Query Binary Classifier

* Add cpu_thread_num parameter in conf.training_params

* Rename cpu_thread_num into cpu_num_workers

* update comments in ModelConf.py

* Add cup_num_workers in model_zoo/advanced/conf.json

* Add the description of cpu_num_workers in Tutorial.md

* Update inference speed of compressed model

* Add ProcessorsScheduler Class

* Add license in ProcessorScheduler.py

* use lazy loading instead of one-off loading

* Remove Debug Info in problem.py

* use open instead of codecs.open

* update the inference of build dictionary for classification

* update typo

* update typo
@ljshou

ljshou approved these changes May 10, 2019

@ljshou ljshou merged commit 1d3f31e into master May 10, 2019

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license/cla All CLA requirements met.
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@ljshou ljshou deleted the wutlin branch May 10, 2019

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