Geographic Question Answering
4 papers with code • 0 benchmarks • 0 datasets
Geographic Question Answering ( by way of IR, NLP, and/or Knowledge base apply)
Benchmarks
These leaderboards are used to track progress in Geographic Question Answering
Most implemented papers
TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learning
To fill this gap, we propose TorchSpatial, a learning framework and benchmark for location (point) encoding, which is one of the most fundamental data types of spatial representation learning.
SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic Lifting
We also construct a geographic knowledge graph as well as a set of geographic query-answer pairs called DBGeo to evaluate the performance of SE-KGE in comparison to multiple baselines.
Translating Place-Related Questions to GeoSPARQL Queries
Many place-related questions can only be answered by complex spatial reasoning, a task poorly supported by factoid question retrieval.
PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph
Finally, we introduce Multipolygon-GNN, a novel model tailored to leverage the spatial and semantic heterogeneity inherent in the visibility graph.