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Numerical Relation Extraction with Minimal Supervision

AAAI 2016 · Learning theory and algorithms › Combinatorial and search optimization · approach: Structure and complexity of constraint reasoning · 49 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add keyword-based labeling to KB distant supervision (ablation)NumberTron (Atleast-K) · Numerical relation extractionF1: 45.97 -> 63.78Helped
add KB supervision to keyword-only labeling (ablation)NumberTron (Atleast-K) · Numerical relation extractionF1: 54.83 -> 63.78Helped
use Atleast-K instead of Simple OR join potential (ablation)NumberTron · Numerical relation extractionF1: 63.21 -> 63.78Helped
use Agreeing-K instead of Atleast-K join potential (ablation)NumberTron · Numerical relation extractionF1: 63.78 -> 61.79Hurt
add keyword features to Mintz features (ablation)NumberTron · Numerical relation extractionF1: 28.21 -> 42.71Helped
add number features to Keyword+Mintz (ablation)NumberTron · Numerical relation extractionF1: 42.71 -> 63.78Helped
add Mintz features to Keyword+Number (ablation)NumberTron · Numerical relation extractionF1: 54.80 -> 63.78Helped
replace rule-based NumberRule with statistical NumberTron (ablation)extractor · Numerical relation extractionrecall: 53.60 -> 66.92Helped
replace NumberRule with NumberTronextractor · Numerical relation extractionF1: 56.30 -> 63.78Helped
NumberTron vs NumberRule per relationextractor · Numerical relation extractionF1 per relation: FDI 0 vs 50.00; Inflation 88.40 vs 56.25Mixed
NumberTron vs MultiR++extractor · Numerical relation extractionF1: 38.84 -> 63.78Helped

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