On the opportunities and challenges of foundation models for geospatial artificial intelligence
Large pre-trained models, also known as foundation models (FMs), are trained in a task-
agnostic manner on large-scale data and can be adapted to a wide range of downstream …
agnostic manner on large-scale data and can be adapted to a wide range of downstream …
Land‐use change and biodiversity: Challenges for assembling evidence on the greatest threat to nature
CW Davison, C Rahbek… - Global Change …, 2021 - Wiley Online Library
Land‐use change is considered the greatest threat to nature, having caused worldwide
declines in the abundance, diversity, and health of species and ecosystems. Despite …
declines in the abundance, diversity, and health of species and ecosystems. Despite …
Towards a foundation model for geospatial artificial intelligence (vision paper)
Large pre-trained models, also known as foundation models (FMs), are trained in a task-
agnostic manner on large-scale data and can be adapted to a wide range of downstream …
agnostic manner on large-scale data and can be adapted to a wide range of downstream …
Named entity recognition and classification on historical documents: A survey
After decades of massive digitisation, an unprecedented amount of historical documents is
available in digital format, along with their machine-readable texts. While this represents a …
available in digital format, along with their machine-readable texts. While this represents a …
Named entity recognition and classification in historical documents: A survey
After decades of massive digitisation, an unprecedented number of historical documents are
available in digital format, along with their machine-readable texts. While this represents a …
available in digital format, along with their machine-readable texts. While this represents a …
NeuroTPR: A neuro‐net toponym recognition model for extracting locations from social media messages
Social media messages, such as tweets, are frequently used by people during natural
disasters to share real‐time information and to report incidents. Within these messages …
disasters to share real‐time information and to report incidents. Within these messages …
EVKG: An interlinked and interoperable electric vehicle knowledge graph for smart transportation system
Over the past decade, the electric vehicle (EV) industry has experienced unprecedented
growth and diversification, resulting in a complex ecosystem. To effectively manage this …
growth and diversification, resulting in a complex ecosystem. To effectively manage this …
ensemble named entity recognition (ner): evaluating ner Tools in the identification of Place names in historical corpora
The field of Spatial Humanities has advanced substantially in the past years. The
identification and extraction of toponyms and spatial information mentioned in historical text …
identification and extraction of toponyms and spatial information mentioned in historical text …
Chinese toponym recognition with variant neural structures from social media messages based on BERT methods
K Ma, YJ Tan, Z Xie, Q Qiu, S Chen - Journal of Geographical Systems, 2022 - Springer
Many natural language tasks related to geographic information retrieval (GIR) require
toponym recognition, and identifying Chinese toponyms from social media messages to …
toponym recognition, and identifying Chinese toponyms from social media messages to …
Geo‐text data and data‐driven geospatial semantics
Y Hu - Geography Compass, 2018 - Wiley Online Library
Many datasets nowadays contain links between geographic locations and natural language
texts. These links can be geotags, such as geotagged tweets or geotagged Wikipedia …
texts. These links can be geotags, such as geotagged tweets or geotagged Wikipedia …