Papers with OE
Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures (P18-1)
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| Challenge: | Structured embeddings based on regions, densities, and orderings have gained popularity for their inductive bias towards the essential asymmetries inherent in problems such as image captioning. |
| Approach: | They propose a box lattice and accompanying probability measure to capture negative correlations over arbitrary concepts. |
| Outcome: | The proposed model can capture anti-correlation and even disjoint concepts while learning from and predicting calibrated uncertainty. |
MECH: A Cost-Effective Multi-Task Cascade Framework for Classroom Opinion Evolution Recognition (2026.acl-long)
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| Challenge: | Existing studies focus on dialogue act annotation, overlooking the deeper dimension of opinion evolution. |
| Approach: | They propose a framework for Classroom Opinion Evolution Recognition that translates "Action-Opinion" dualism into a risk-aware routing mechanism. |
| Outcome: | The proposed framework achieves state-of-the-art accuracy of 78.55% while reducing API costs by 44.4%. |