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Fig 1.

Overview of TAP.

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Fig 2.

Example of PHP inbuilt function.

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Fig 3.

Comparison of parsing different boundary situations.

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Table 1.

List of uniform tokens.

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Fig 4.

Example of variable iterations.

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Fig 5.

Example of the TAP’s custom tokenizer.

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Table 2.

The statistics of datasets.

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Table 3.

Errors found by manul check.

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Fig 6.

Control experiments of model parameters.

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Table 4.

Effect evaluation of Kappa statistic.

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Fig 7.

Comparison of TAP and token_get_all().

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Table 5.

Results comparison with TAP and token_get_all().

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Fig 8.

ROC comparison of binary classification model.

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Table 6.

Evaluation criteria of binary classification model.

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Fig 9.

Normalized confusion matrix of RIPS.

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Fig 10.

Normalized confusion matrix of TAP.

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Table 7.

Evaluation criteria of multiclass classification model.

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