Research map / Label-efficient and robust learning / Recognition and long-tail
Knowledge-based Word Sense Disambiguation using Topic Models
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use WSD-TM instead of the strongest knowledge-based system | All-word WSD · Senseval-2 | F1: 67.0 -> 69.0 | Helped |
| Use WSD-TM instead of the strongest knowledge-based system | All-word WSD · Senseval-3 | F1: 63.5 -> 66.9 | Helped |
| Use WSD-TM instead of the strongest knowledge-based system | All-word WSD · SemEval-2007 | F1: 56.7 -> 55.6 | Hurt |
| Use WSD-TM instead of the strongest knowledge-based system | All-word WSD · SemEval-2013 | F1: 66.4 -> 65.3 | Hurt |
| Use WSD-TM instead of the strongest knowledge-based system | All-word WSD · SemEval-2015 | F1: 70.3 -> 69.6 | Hurt |
| Use WSD-TM instead of the strongest knowledge-based system | All-word WSD · All | F1: 65.5 -> 66.9 | Helped |
Closest papers by meaning
- CSI: A Coarse Sense Inventory for 85% Word Sense Disambiguation (AAAI 2020 · similarity 0.90)
- XL-WSD: An Extra-Large and Cross-Lingual Evaluation Framework for Word Sense Disambiguation (AAAI 2021 · similarity 0.89)
- SensEmBERT: Context-Enhanced Sense Embeddings for Multilingual Word Sense Disambiguation (AAAI 2020 · similarity 0.89)
- On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling (AAAI 2024 · similarity 0.84)
- Quantum-inspired Non-homologous Representation Constraint Mechanism for Long-tail Senses of Word Sense Disambiguation (AAAI 2025 · similarity 0.84)
- Quantum Interference Model for Semantic Biases of Glosses in Word Sense Disambiguation (AAAI 2024 · similarity 0.84)
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