FIGER (Fine-Grained Entity Recognition)
Introduced by Xiao Ling et al. in Fine-Grained Entity Recognition
The FIGER dataset is an entity recognition dataset where entities are labelled using fine-grained system 112 tags, such as person/doctor, art/written_work and building/hotel. The tags are derivied from Freebase types. The training set consists of Wikipedia articles automatically annotated with distant supervision approach that utilizes the information encoded in anchor links. The test set was annotated manually.
Source: http://www.aaai.org/ocs/index.php/AAAI/AAAI12/paper/view/5152Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
|
FIGER
|
ERNIE
|
|||
|
FIGER
|
LITE
|
Papers
| Paper | Code | Results | Date | Stars |
|---|
Dataset Loaders
No data loaders found. You can
submit your data loader here.
No data loaders found. You can
submit your data loader here.
