Research map / Graph learning / Knowledge and temporal graphs
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Combine ConceptNet knowledge with word embeddings from text using expanded retrofitting | word embeddings · MEN-3000, Rare Words, MTurk-771, and WordSim-353 | Spearman correlation | Helped |
| Use ConceptNet Numberbatch instead of word2vec embeddings | SAT analogy solving · SAT Analogies | accuracy: .486 -> .561 | Helped |
| Use ConceptNet Numberbatch instead of LexVec | bag-of-vectors story ending selection · Story Cloze Test | accuracy: 59.9% vs 59.4% | No clear effect |
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- Physics of Language Models: Part 3.1, Knowledge Storage and Extraction (ICML 2024 · similarity 0.86)
- KGGen: Extracting Knowledge Graphs from Plain Text with Language Models (NeurIPS 2025 · similarity 0.86)
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