Papers › Unified Structure Generation for Universal Information Extraction
Unified Structure Generation for Universal Information Extraction
Yaojie Lu, Qing Liu, Dai Dai, Xinyan Xiao, Hongyu Lin, Xianpei Han, Le Sun, Hua Wu
Information extraction suffers from its varying targets, heterogeneous structures, and demand-specific schemas. In this paper, we propose a unified text-to-structure generation framework, namely UIE, which can universally model different IE tasks, adaptively generate targeted structures, and collaboratively learn general IE abilities from different knowledge sources. Specifically, UIE uniformly encodes different extraction structures via a structured extraction language, adaptively generates target extractions via a schema-based prompt mechanism - structural schema instructor, and captures the common IE abilities via a large-scale pre-trained text-to-structure model. Experiments show that UIE achieved the state-of-the-art performance on 4 IE tasks, 13 datasets, and on all supervised, low-resource, and few-shot settings for a wide range of entity, relation, event and sentiment extraction tasks and their unification. These results verified the effectiveness, universality, and transferability of UIE.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Aspect-Based Sentiment Analysis (ABSA) | ASTE | UIE | F1 (L14) | 62.94 | #5 of 13 | Archive leaderboard | report |
| Aspect-Based Sentiment Analysis (ABSA) | ASTE | UIE | F1 (R15) | 64.41 | #5 of 13 | Archive leaderboard | report |
| Aspect-Based Sentiment Analysis (ABSA) | ASTE | UIE | F1 (R16) | 72.86 | #5 of 13 | Archive leaderboard | report |
| Aspect-Based Sentiment Analysis (ABSA) | ASTE | UIE | F1(R14) | 72.55 | #5 of 13 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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