GeoGLUE (GeoGraphic Language Understanding Evaluation Benchmark)
Introduced by Li et al. in GeoGLUE: A GeoGraphic Language Understanding Evaluation Benchmark
GeoGLUE is a GeoGraphic Language Understanding Evaluation benchmark, which consists of six geographic text-related tasks, including geographic textual similarity on recall, geotagged geographic elements tagging, geographic composition analysis, geographic where what cut, and geographic entity alignment. All tasks' datasets are collected from open-released resources.
Source: GeoGLUE: A GeoGraphic Language Understanding Evaluation BenchmarkPapers
| 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.
