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06/30/2023
Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictions
Generating learning-friendly representations for points in space is a fu...
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05/01/2023
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations
Geo-tagged images are publicly available in large quantities, whereas la...
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04/13/2023
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence
Large pre-trained models, also known as foundation models (FMs), are tra...
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10/17/2022
RARR: Researching and Revising What Language Models Say, Using Language Models
Language models (LMs) now excel at many tasks such as few-shot learning,...
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09/29/2022
Towards General-Purpose Representation Learning of Polygonal Geometries
Neural network representation learning for spatial data is a common need...
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01/25/2022
Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial Predictions
Generating learning-friendly representations for points in a 2D space is...
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12/02/2021
Narrative Cartography with Knowledge Graphs
Narrative cartography is a discipline which studies the interwoven natur...
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11/07/2021
A Review of Location Encoding for GeoAI: Methods and Applications
A common need for artificial intelligence models in the broader geoscien...
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05/19/2021
Geographic Question Answering: Challenges, Uniqueness, Classification, and Future Directions
As an important part of Artificial Intelligence (AI), Question Answering...
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12/28/2020
Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval
Existing methods for open-retrieval question answering in lower resource...
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04/25/2020
SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic Lifting
Learning knowledge graph (KG) embeddings is an emerging technique for a ...
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03/14/2020
Semantically-Enriched Search Engine for Geoportals: A Case Study with ArcGIS Online
Many geoportals such as ArcGIS Online are established with the goal of i...
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02/16/2020
Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells
Unsupervised text encoding models have recently fueled substantial progr...
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09/30/2019
Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs
Recently, several studies have explored methods for using KG embedding t...
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09/28/2019
Integrated Triaging for Fast Reading Comprehension
Although according to several benchmarks automatic machine reading compr...
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02/28/2019
FastFusionNet: New State-of-the-Art for DAWNBench SQuAD
In this technical report, we introduce FastFusionNet, an efficient varia...
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10/05/2018
POIReviewQA: A Semantically Enriched POI Retrieval and Question Answering Dataset
Many services that perform information retrieval for Points of Interest ...
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07/06/2018
Memory Augmented Policy Optimization for Program Synthesis with Generalization
This paper presents Memory Augmented Policy Optimization (MAPO): a novel...
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11/17/2017
Learning to Organize Knowledge with N-Gram Machines
Deep neural networks (DNNs) had great success on NLP tasks such as langu...
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11/12/2017
Fast Reading Comprehension with ConvNets
State-of-the-art deep reading comprehension models are dominated by recu...
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12/04/2016
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision (Short Version)
Extending the success of deep neural networks to natural language unders...
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10/31/2016
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision
Harnessing the statistical power of neural networks to perform language ...
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04/12/2014