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Table 9 Sentence detection.

From: Detection of sentence boundaries and abbreviations in clinical narratives

Method

BL

[1]

[1-2]

[1-3]

[1-4]

[1-5]

[1-6]

[1-7]

micro-avg. F1 Training

0.78

0.58*'

0.76*'

0.88*'

0.92*'

0.95*'

0.96*'

0.97*'

micro-avg. F1 Test

0.75

0.60*'

0.75'

0.86*'

0.91*'

0.93*'

0.94*'

0.94*

  1. Evaluation performance combining feature sets stepwise according to their stand alone performance (1 Language features; 2 Rule-based features; 3 Text format features; 4 Word length features; 5 Right context word type features; 6 Word type features; 7 Abbreviation feature). * significant difference to base line (p <0.05), ' significant difference to predecessor (p <0.05)
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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