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 …

Improving social media use for disaster resilience: challenges and strategies

NSN Lam, M Meyer, M Reams, S Yang… - … Journal of Digital …, 2023 - Taylor & Francis
This paper develops a social media-disaster resilience analysis framework by categorizing
types of social media use and their challenges to better understand and assess its role in …

A contrastive topic-aware attentive framework with label encodings for post-disaster resource classification

SS Dar, MK Karandikar, MZU Rehman, S Bansal… - Knowledge-Based …, 2024 - Elsevier
Social media has emerged as a critical platform for disseminating real-time information
during disasters. However, extracting actionable resource data, such as needs and …

TopoBERT: a plug and play toponym recognition module harnessing fine-tuned BERT

B Zhou, L Zou, Y Hu, Y Qiang… - International Journal of …, 2023 - Taylor & Francis
Extracting precise geographical information from the textual content, referred to as toponym
recognition, is fundamental in geographical information retrieval and crucial in a plethora of …

Big Earth Data for quantitative measurement of community resilience: current challenges, progresses and future directions

Y Qiang, L Zou, H Cai - Big Earth Data, 2023 - Taylor & Francis
Quantitative assessment of community resilience can provide support for hazard mitigation,
disaster risk reduction, disaster relief, and long-term sustainable development. Traditional …

How effective is twitter (X) social media data for urban flood management?

MW Boota, HM Zwain, X Shi, J Guo, Y Li, M Tayyab… - Journal of …, 2024 - Elsevier
Social media has been an instant source of information for natural disasters, such as urban
floods, throughout the world. Ex-post evaluation of the information is considered more …

Entity Linking for real-time geolocation of natural disasters from social network posts

G Caillaut, S Auclair, C Gracianne, N Abadie, G Touya - PloS one, 2024 - journals.plos.org
When a fast kinetic natural disaster occurs, it is crucial that crisis managers quickly
understand the extent of the situation, especially through the development of “big picture” …

Crowdsourcing Geospatial Data for Earth and Human Observations: A Review

X Huang, S Wang, D Yang, T Hu, M Chen… - Journal of Remote …, 2024 - spj.science.org
The transformation from authoritative to user-generated data landscapes has garnered
considerable attention, notably with the proliferation of crowdsourced geospatial data …

Algorithmic uncertainties in geolocating social media data for disaster management

D Mandal, L Zou, J Abedin, B Zhou… - Cartography and …, 2024 - Taylor & Francis
The rapid development of information and communications technology has turned
individuals into sensors, fostering the growth of human-generated geospatial big data. In …

[HTML][HTML] DLRGeoTweet: A comprehensive social media geocoding corpus featuring fine-grained places

X Hu, T Elßner, S Zheng, HN Serere, J Kersten… - Information Processing …, 2024 - Elsevier
Every day, many short text messages on social media are generated in response to real-
world events, providing a valuable resource for various domains such as emergency …