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Fig 1.

Overall proposed methodology.

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Table 1.

Statistics of dataset.

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Table 2.

Summary of extracted features for supervised extractive summarization.

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Table 3.

Statistical analysis of extractive features of sentences.

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Table 4.

Scores of feature selecting algorithms.

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Table 5.

ROUGE scores of supervised summaries (mean and standard deviation over multiple runs).

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Table 6.

Optimal training parameters used for the proposed CNN+LSTM and CNN+GRU models.

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Table 6 Expand

Fig 2.

Comparing the results of different models.

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Fig 2 Expand

Fig 3.

Comparison with state-of-the-art.

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