Location reference recognition from texts: A survey and comparison

X Hu, Z Zhou, H Li, Y Hu, F Gu, J Kersten, H Fan… - ACM Computing …, 2023 - dl.acm.org
A vast amount of location information exists in unstructured texts, such as social media
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …

Geographic information retrieval: Progress and challenges in spatial search of text

RS Purves, P Clough, CB Jones… - … and Trends® in …, 2018 - nowpublishers.com
Significant amounts of information available today contain references to places on earth.
Traditionally such information has been held as structured data and was the concern of …

Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages

Y Hu, G Mai, C Cundy, K Choi, N Lao… - International Journal …, 2023 - Taylor & Francis
Social media messages posted by people during natural disasters often contain important
location descriptions, such as the locations of victims. Recent research has shown that many …

[图书][B] Artificial intelligence in sport performance analysis

D Araújo, M Couceiro, L Seifert, H Sarmento, K Davids - 2021 - taylorfrancis.com
To understand the dynamic patterns of behaviours and interactions between athletes that
characterize successful performance in different sports is an important challenge for all sport …

Transformer based named entity recognition for place name extraction from unstructured text

C Berragan, A Singleton, A Calafiore… - International Journal of …, 2023 - Taylor & Francis
Place names embedded in online natural language text present a useful source of
geographic information. Despite this, many methods for the extraction of place names from …

NeuroTPR: A neuro‐net toponym recognition model for extracting locations from social media messages

J Wang, Y Hu, K Joseph - Transactions in GIS, 2020 - Wiley Online Library
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 …

GazPNE2: A general place name extractor for microblogs fusing gazetteers and pretrained transformer models

X Hu, Z Zhou, Y Sun, J Kersten, F Klan… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The concept of “human as sensors” defines a new sensing model, in which humans act as
sensors by contributing their observations, perceptions, and sensations. This is crucial for …

A data-synthesis-driven method for detecting and extracting vague cognitive regions

S Gao, K Janowicz, DR Montello, Y Hu… - International Journal …, 2017 - Taylor & Francis
Cognitive regions and places are notoriously difficult to represent in geographic information
science and systems. The exact delineation of cognitive regions is challenging insofar as …

Geolm: Empowering language models for geospatially grounded language understanding

Z Li, W Zhou, YY Chiang, M Chen - arXiv preprint arXiv:2310.14478, 2023 - arxiv.org
Humans subconsciously engage in geospatial reasoning when reading articles. We
recognize place names and their spatial relations in text and mentally associate them with …

Understanding the removal of precise geotagging in tweets

Y Hu, RQ Wang - Nature Human Behaviour, 2020 - nature.com
Twitter announced on 18 June 2019 that it would remove the precise geotagging feature in
tweets. In addition to protecting the location privacy of users, this change also affects human …