Papers by Xuelu Chen
Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning (2021.naacl-main)
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| Challenge: | Existing methods to generalize knowledge bases model triple-level uncertainty . Existing models only model triple level uncertainty, and reasoning results lack global consistency. |
| Approach: | They propose a method to embed knowledge graphs with calibrated probabilistic semantics . they model each entity as a box and relations between two entities as affine transforms based on affinity transforms. |
| Outcome: | Experiments show that the proposed method outperforms baseline methods on confidence prediction and fact ranking. |
Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer (2020.findings-emnlp)
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| Challenge: | Existing methods for learning missing facts in knowledge graphs are limited by insufficiency of alignment information and inconsistency of described facts. |
| Approach: | They propose a framework for embedding learning and ensemble knowledge transfer across KGs. |
| Outcome: | The proposed framework improves state-of-the-art methods on language-specific KGs. |