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39 lines
1.1 KiB
Python
39 lines
1.1 KiB
Python
from data import build_corpus
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from train_evaluate import hmm_train_eval, crf_train_eval, bilstm_train_eval
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def main():
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# load data
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print('long data ...')
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train_word_lists, train_tag_lists, word2id, tag2id = build_corpus("train")
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dev_word_lists, dev_tag_lists = build_corpus("dev", make_vocab=False)
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test_word_lists, test_tag_lists = build_corpus("test", make_vocab=False)
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# train and evaluate HMM model
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hmm_pred = hmm_train_eval(
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file_path="./zdata",
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train_data=(train_word_lists, train_tag_lists),
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test_data=(test_word_lists, test_tag_lists),
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word2id=word2id,
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tag2id=tag2id
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)
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# train and evaluate CRF model
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crf_pred = crf_train_eval(
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file_path="./zdata",
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train_data=(train_word_lists, train_tag_lists),
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test_data=(test_word_lists, test_tag_lists)
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)
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# BiLSTM
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bilstm_pred = bilstm_train_eval(
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train_data=(train_word_lists, train_tag_lists),
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dev_data=(dev_word_lists, dev_tag_lists),
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test_data=(test_word_lists, test_tag_lists),
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word2id=word2id,
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tag2id=tag2id
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)
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main() |