Results 21 to 30 of about 898 (161)

Adaptive Geoparsing Method for Toponym Recognition and Resolution in Unstructured Text

Remote Sensing, 2020
The automatic extraction of geospatial information is an important aspect of data mining. Computer systems capable of discovering geographic information from natural language involve a complex process called geoparsing, which includes two important tasks:
Edwin Aldana-Bobadilla, Alejandro Molina-Villegas, Ivan Lopez-Arevalo, Shanel Reyes-Palacios, Victor Muñiz-Sanchez, Jean Arreola-Trapala   +5 more
doaj   +1 more source

HeidelPlace: An Extensible Framework for Geoparsing [PDF]

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2017
Geographic information extraction from textual data sources, called geoparsing, is a key task in text processing and central to subsequent spatial analysis approaches. Several geoparsers are available that support this task, each with its own (often limited or specialized) gazetteer and its own approaches to toponym detection and resolution.
Ludwig Richter, Johanna Geiß, Andreas Spitz, Michael Gertz   +3 more
openaire   +1 more source

Reintroduction biology and the IUCN Red List: The dominance of species of Least Concern in the peer-reviewed literature

Global Ecology and Conservation, 2022
Reintroduction biology is a key tool for mitigating the catastrophic reduction in species’ ranges, caused by humans over the last 500 years. To assess where reintroduction biology scientific research is targeted, we used text-analysis methods to extract ...
Maldwyn J. Evans, Iain J. Gordon, Jennifer C. Pierson, Linda E. Neaves, Belinda A. Wilson, Brittany Brockett, Catherine E. Ross, Kiarrah J. Smith, Shoshana Rapley, Tim A. Andrewartha, Nick Humphries, Adrian D. Manning   +11 more
doaj   +1 more source

How can voting mechanisms improve the robustness and generalizability of toponym disambiguation?

International Journal of Applied Earth Observations and Geoinformation, 2023
Natural language texts, such as tweets and news, contain a vast amount of geospatial information, which can be extracted by first recognizing toponyms in texts (toponym recognition) and then identifying their geospatial representations (toponym ...
Xuke Hu, Yeran Sun, Jens Kersten, Zhiyong Zhou, Friederike Klan, Hongchao Fan   +5 more
doaj   +1 more source

Social Media Meets Big Urban Data: A Case Study of Urban Waterlogging Analysis. [PDF]

Comput Intell Neurosci, 2016
With the design and development of smart cities, opportunities as well as challenges arise at the moment. For this purpose, lots of data need to be obtained. Nevertheless, circumstances vary in different cities due to the variant infrastructures and populations, which leads to the data sparsity.
Zhang N, Chen H, Chen J, Chen X.
europepmc   +2 more sources

Event Geoparser with Pseudo-Location Entity Identification and Numerical Argument Extraction Implementation and Evaluation in Indonesian News Domain

ISPRS International Journal of Geo-Information, 2020
Geoparser is a fundamental component of a Geographic Information Retrieval (GIR) geoparser, which performs toponym recognition, disambiguation, and geographic coordinate resolution from unstructured text domain. However, geoparsing of news articles which
Agung Dewandaru, Dwi Hendratmo Widyantoro, Saiful Akbar   +2 more
doaj   +1 more source

Adapting the Edinburgh Geoparser for Historical Georeferencing [PDF]

International Journal of Humanities and Arts Computing, 2015
Place name mentions in text may have more than one potential referent (e.g. Peru, the country vs. Peru, the city in Indiana). The Edinburgh Language Technology Group (LTG) has developed the Edinburgh Geoparser, a system that can automatically recognise place name mentions in text and disambiguate them with respect to a gazetteer.
Alex, Beatrice, Byrne, Kate, Grover, Claire, Tobin, Richard   +3 more
openaire   +2 more sources

Crisis Mapping during Natural Disasters via Text Analysis of Social Media Messages [PDF]

, 2015
Recent disasters demonstrated the central role of social media during emergencies thus motivating the exploitation of such data for crisis mapping. We propose a crisis mapping system that addresses limitations of current state-of-the-art approaches by ...
Cimino, Andrea, Cresci, Stefano, Dell\u27Orletta, Felice, Tesconi, Maurizio   +3 more
core   +1 more source

Automatically analysing large texts in a GIS environment: The Registrar General’s reports and cholera in the nineteenth century [PDF]

, 2014
This is the peer reviewed version of the following article: Murrieta-Flores, P., Baron, A., Gregory, I., Hardie, A., & Rayson, P. (2015). Automatically analysing large texts in a GIS environment: The Registrar General’s reports and cholera in the ...
Baron, Alistair, Gregory, Ian, Hardie, Andrew, Murrieta-Flores, Patricia, Rayson, Paul   +4 more
core   +4 more sources

GeoAnnotator: A Collaborative Semi-Automatic Platform for Constructing Geo-Annotated Text Corpora

ISPRS International Journal of Geo-Information, 2019
Ground-truth datasets are essential for the training and evaluation of any automated algorithm. As such, gold-standard annotated corpora underlie most advances in natural language processing (NLP).
Morteza Karimzadeh, Alan M. MacEachren
doaj   +1 more source