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. Author manuscript; available in PMC: 2019 Mar 14.
Published in final edited form as: Proc Mach Learn Res. 2017 Aug;70:273–82.

Table 1.

Candidate-mention scores of information extraction applications trained with data programming using generative models with no dependency structure (Independent) and learned dependency structure (Structure).

Application Independent Structure F1 Diff. # LFs # Cor. % Corr.
P R F1 P R F1
Disease Tagging 60.4 73.3 66.3 68.0 69.8 68.9 2.6 233 315 1.17%
Chemical-Disease 45.1 69.2 54.6 46.8 69.0 55.9 1.3 33 21 3.98%
Device Polarity 78.9 99.6 88.1 80.5 98.6 88.7 0.6 12 32 48.49%