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Figure 1.

Framework of the biomedical text summarization system.

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Figure 2.

An example of semantic relation extraction.

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Table 1.

Direct relations with “Angina Pectoris”.

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Figure 3.

The core relation set for “Angina Pectoris”.

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Figure 4.

Semantic relation network for “Angina Pectoris” after relation retrieval.

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Figure 5.

An example of relation and sentence retrieval.

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Table 2.

Location scores used in our experiment.

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Table 3.

Diseases use in our experiment.

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Figure 6.

Comparison of summarization performance on ROUGE-1.

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Table 4.

Performance of summarization for 24 diseases.

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Table 5.

The impact of relation expansion, noise filtering and redundant removal.

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Figure 7.

Relationship between ROUGE-1 and concept depth in MeSH based filtering.

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Figure 8.

Relationship between ROUGE-1 and the trade-off parameter

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Figure 9.

Relationship between ROUGE-1 and the trade-off parameter ω.

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