ConceptNet is a knowledge graph that connects words and phrases of natural language with labeled edges. Its knowledge is collected from many sources that include expert-created resources, crowd-sourcing, and games with a purpose. It is designed to represent the general knowledge involved in understanding language, improving natural language applications by allowing the application to better understand the meanings behind the words people use.
Source: ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
Image Source: Speer et al
Variants: ConceptNet
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| 16k | Suprime2 | 10 Years of the PCG … | 2021-03-21 |
Recent papers with results on this dataset: