Never Ending Language Learning
NELL is a dataset built from the Web via an intelligent agent called Never-Ending Language Learner. This agent attempts to learn over time to read the web. NELL has accumulated over 50 million candidate beliefs by reading the web, and it is considering these at different levels of confidence. NELL has high confidence in 2,810,379 of these beliefs.
Source: A Survey on Knowledge Graphs: Representation, Acquisition and Applications
Image Source: http://rtw.ml.cmu.edu/rtw/
Variants: NELL, NELL-995, NELL995
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Node Classification | DFNet-ATT | DFNets: Spectral CNNs for Graphs … | 2019-10-24 |
| Node Classification | GraphVAT | Graph Adversarial Training: Dynamically Regularizing … | 2019-02-20 |
| Node Classification | GCN | Semi-Supervised Classification with Graph Convolutional … | 2016-09-09 |
| Node Classification | Planetoid* | Revisiting Semi-Supervised Learning with Graph … | 2016-03-29 |
Recent papers with results on this dataset: