GitHub - sagileo/triple_extraction: 从语句中提取正确的三元组

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
__pycache__		__pycache__
README.txt		README.txt
assignment_test_data_word_segment.json		assignment_test_data_word_segment.json
assignment_test_result.json		assignment_test_result.json
assignment_training_data_word_segment.json		assignment_training_data_word_segment.json
lstm_predict.py		lstm_predict.py
lstm_train.py		lstm_train.py
lstm_word2vec.py		lstm_word2vec.py
model.py		model.py
my_model.h5		my_model.h5
my_model_word2vec.h5		my_model_word2vec.h5
requirements.txt		requirements.txt
rule.py		rule.py
sentence.model		sentence.model
sentence.py		sentence.py
sentence.txt		sentence.txt
test.txt		test.txt
vocab.json		vocab.json
word2vec.py		word2vec.py
大作业报告.pptx		大作业报告.pptx

Repository files navigation

lstm：
运行 python lstm_train.py 以获得模型（文件夹里本身已经有训练好的模型"my_model.h5"，所以可以不运行这条命令）
运行 python lstm_predict.py 以获得预测结果（90%训练集和10%测试集）

lstm + word2vec：
运行 python sentence.py 获得句子分词后的文本"sentence.txt"
运行 python word2vec.py 获得word2vec模型"sentence.model"
运行lstm_word2vec.py 获得训练模型与预测结果

lstm + 规则：
运行 python model.py 获得json文件"assignment_test_data_word_segment.py"