Generating learning-friendly representations for points in space is a
fu...
This paper explores new frontiers in agricultural natural language proce...
Geo-tagged images are publicly available in large quantities, whereas la...
Artificial general intelligence (AGI) has gained global recognition as a...
Recent advancements in foundation models (FMs), such as GPT-4 and LLaMA,...
Large pre-trained models, also known as foundation models (FMs), are tra...
Artificial General Intelligence (AGI) is poised to revolutionize a varie...
Over the past decade, the electric vehicle industry has experienced
unpr...
Neural network representation learning for spatial data is a common need...
Generating learning-friendly representations for points in a 2D space is...
Narrative cartography is a discipline which studies the interwoven natur...
Almost all statements in knowledge bases have a temporal scope during wh...
A common need for artificial intelligence models in the broader geoscien...
As an important part of Artificial Intelligence (AI), Question Answering...
Learning knowledge graph (KG) embeddings is an emerging technique for a
...
Many geoportals such as ArcGIS Online are established with the goal of
i...
Unsupervised text encoding models have recently fueled substantial progr...
Link prediction is an important and frequently studied task that contrib...
Recently, several studies have explored methods for using KG embedding t...
Many services that perform information retrieval for Points of Interest ...