Research map / Label-efficient and robust learning / Recognition and long-tail
Quantum-Inspired Representation for Long-Tail Senses of Word Sense Disambiguation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add quantum processing to the classical WSD model (ablation) | QR-WSD · SemCor test sets; ALL | F1-score (%): 77.1 -> 80.5 | Helped |
| add quantum processing to the classical WSD model (ablation) | QR-WSD · MFS test sets; ALL | F1-score (%): 92.2 -> 92.4 | No clear effect |
| add quantum processing to the classical WSD model (ablation) | QR-WSD · LTS test sets; ALL | F1-score (%): 66.8 -> 70.7 | Helped |
| add quantum processing to the classical WSD model (ablation) | QR-WSD · MFS test sets; SE2 | F1-score (%): 93.1 -> 92.7 | Hurt |
Closest papers by meaning
- Quantum-inspired Non-homologous Representation Constraint Mechanism for Long-tail Senses of Word Sense Disambiguation (AAAI 2025 · similarity 0.93)
- Quantum Interference Model for Semantic Biases of Glosses in Word Sense Disambiguation (AAAI 2024 · similarity 0.90)
- Enriching Disentanglement: From Logical Definitions to Quantitative Metrics (NeurIPS 2024 · similarity 0.83)
- QPEN: Quantum Projection and Quantum Entanglement Enhanced Network for Cross-Lingual Aspect-Based Sentiment Analysis (AAAI 2024 · similarity 0.83)
- QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation (NeurIPS 2024 · similarity 0.82)
- Retrieval-based Disentangled Representation Learning with Natural Language Supervision (ICLR 2024 · similarity 0.82)
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