KBQA-BERT:基于知识图谱的QA系统，BERT模型
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2021-03-11
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KBQA-BERT-master.zip （70个子文件） 
KBQA-BERT-master 
neo4j_qa.py 834B tf_metrics.py 8KB global_config.py 2KB lstm_crf_layer.py 7KB bert run_squad.py 45KB multilingual.md 11KB tokenization.py 10KB run_classifier.py 31KB run_pretraining.py 18KB create_pretraining_data.py 15KB modeling.py 37KB tokenization_test.py 4KB
requirements.txt 110B extract_features.py 14KB __init__.py 0B optimization_test.py 2KB optimization.py 6KB modeling_test.py 9KB CONTRIBUTING.md 1KB sample_text.txt 4KB LICENSE 11KB README.md 40KB kbqa_test.py 7KB run_ner.sh 636B terminal_ner.sh 676B Config SIM README.md 123B NER ner_data.conf 155B README.md 123B run_ner.py 34KB qa_my.sh 661B subpcs.py 302B run_similarity.py 28KB recommend_articles.log.2019-08-23 3.22MB recommend_articles.log.2019-08-21 6.43MB adcf.py 3KB fujc.py 1KB LICENSE 11KB terminal_predict.py 15KB recommend_articles.log.2019-08-06 0B qa_my.py 16KB README.md 831B Data data_process.py 3KB construct_dataset.py 2KB load_dbdata.py 3KB Sim_Data train.txt 4.6MB val.txt 720KB README.md 123B dev.txt 720KB DB_Data README.md 123B clean_triple.csv 1.13MB NER_Data testing.txt 1.06MB train.txt 1.52MB README.md 123B dev.txt 1.06MB q_t_a_df_training.csv 2.21MB q_t_a_df_testing.csv 1.51MB construct_dataset_attribute.py 2KB NLPCC2016KBQA nlpcc-iccpol-2016.kbqa.training-data 3.19MB nlpcc-iccpol-2016.kbqa.kb 29KB nlpcc-iccpol-2016.kbqa.testing-data 2.16MB triple_clean.py 2KB image 
NER.jpg 11KB
KB.png 15KB args.py 786B prt.py 124B .gitignore 1KB kl.py 42B conlleval.pl 13KB his.py 707B conlleval.py 10KB
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