KBQA_zh:基于BERT的KBQA，包含joint和pipeline两种模式
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2021-05-26
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KBQA_zh-master.zip （66个子文件） 
KBQA_zh-master 
README.md 2KB bert predicting_movie_reviews_with_bert_on_tf_hub.ipynb 65KB .gitignore 1KB README.md 49KB tokenization.py 12KB optimization.py 6KB run_squad.py 45KB LICENSE 11KB multilingual.md 11KB modeling_test.py 9KB CONTRIBUTING.md 1KB create_pretraining_data.py 16KB tokenization_test.py 4KB optimization_test.py 2KB
sample_text.txt 4KB __init__.py 616B requirements.txt 110B run_classifier.py 34KB run_classifier_with_tfhub.py 11KB extract_features.py 14KB run_pretraining.py 18KB modeling.py 37KB LICENSE 1KB qa_joint qa_joint_pb2_grpc.py 2KB joint_module.py 9KB run_joint.sh 518B joint_classifier.py 34KB metrics.py 5KB qa_joint_client.py 2KB qa_joint_pb2.py 4KB __pycache__ metrics.cpython-36.pyc 5KB qa_joint_pb2.cpython-36.pyc 2KB joint_module.cpython-36.pyc 6KB qa_joint.proto 533B data JOINT_Data test.tsv 1.13MB train.tsv 1.64MB qa_joint_server.py 2KB
emo.png 266KB qa_pipeline ner_module.py 7KB chinese_ner.py 28KB run_qa.sh 497B qa_pipeline_pb2_grpc.py 2KB qa_server.py 901B metrics.py 5KB qa_pipeline_pb2.py 4KB run_ner.sh 502B qa_system.py 3KB __pycache__ metrics.cpython-36.pyc 5KB qa_pipeline_pb2.cpython-36.pyc 2KB ner_module.cpython-36.pyc 5KB qa_system.cpython-36.pyc 3KB chinese_ner.cpython-36.pyc 20KB qa_pipeline_pb2_grpc.cpython-36.pyc 2KB qa_module.cpython-36.pyc 5KB chinese_qa.cpython-36.pyc 19KB qa_module.py 6KB qa_client.py 2KB qa_pipeline.proto 536B data NER_Data test.tsv 907KB train.tsv 1.28MB DB_Data test.tsv 2.84MB train.tsv 4.01MB kbqa.kb 29KB chinese_qa.py 28KB chinese_L-12_H-768_A-12 readme.md 98B KGMySql.py 719B资源评论
