Research map / Learning theory and algorithms / Combinatorial and search optimization
Numerical Relation Extraction with Minimal Supervision
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add keyword-based labeling to KB distant supervision (ablation) | NumberTron (Atleast-K) · Numerical relation extraction | F1: 45.97 -> 63.78 | Helped |
| add KB supervision to keyword-only labeling (ablation) | NumberTron (Atleast-K) · Numerical relation extraction | F1: 54.83 -> 63.78 | Helped |
| use Atleast-K instead of Simple OR join potential (ablation) | NumberTron · Numerical relation extraction | F1: 63.21 -> 63.78 | Helped |
| use Agreeing-K instead of Atleast-K join potential (ablation) | NumberTron · Numerical relation extraction | F1: 63.78 -> 61.79 | Hurt |
| add keyword features to Mintz features (ablation) | NumberTron · Numerical relation extraction | F1: 28.21 -> 42.71 | Helped |
| add number features to Keyword+Mintz (ablation) | NumberTron · Numerical relation extraction | F1: 42.71 -> 63.78 | Helped |
| add Mintz features to Keyword+Number (ablation) | NumberTron · Numerical relation extraction | F1: 54.80 -> 63.78 | Helped |
| replace rule-based NumberRule with statistical NumberTron (ablation) | extractor · Numerical relation extraction | recall: 53.60 -> 66.92 | Helped |
| replace NumberRule with NumberTron | extractor · Numerical relation extraction | F1: 56.30 -> 63.78 | Helped |
| NumberTron vs NumberRule per relation | extractor · Numerical relation extraction | F1 per relation: FDI 0 vs 50.00; Inflation 88.40 vs 56.25 | Mixed |
| NumberTron vs MultiR++ | extractor · Numerical relation extraction | F1: 38.84 -> 63.78 | Helped |
Closest papers by meaning
- Global Distant Supervision for Relation Extraction (AAAI 2016 · similarity 0.86)
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- A Hierarchical Framework for Relation Extraction with Reinforcement Learning (AAAI 2019 · similarity 0.84)
- Prototypical Representation Learning for Relation Extraction (ICLR 2021 · similarity 0.83)
- Reliable Data Generation and Selection for Low-Resource Relation Extraction (AAAI 2024 · similarity 0.83)
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