Results 31 to 40 of about 350 (161)
Automated synthesis of biodiversity knowledge requires better tools and standardised research output
Ecography, Volume 2022, Issue 3, March 2022., 2022 As the impact of anthropogenic activity on the environment has grown, research into biodiversity change and associated threats has also accelerated. Synthesising this vast literature is important for understanding the drivers of biodiversity change and identifying those actions that will mitigate further ecological losses. However, keeping pace with an
Richard Cornford +4 more
wiley +1 more source
Perdido : librairie Python pour le geoparsing et le geocoding de textes en français
, 2023 International audienceCet article présente la librairie Python Perdido pour le geoparsing et le geocoding de textes en français. Nous présentons l’architecture générale de l’outil Perdido composée de trois couches : back-office, API et librairie Python ...
Gaio, Mauro, Moncla, Ludovic
core +4 more sources
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 +3 more
openaire +2 more sources
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 +11 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
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 +2 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 +5 more
doaj +1 more source
Exploring Historical Links between Scotland and India using Geoparsing
, 2021 A significant amount of spatial information can be derived from unstructured datasets available in web pages, e-books, and digital archives. When attached to a geographical perspective, this information can bring a whole new dimension to any story ...
-, Chandramauli
core +1 more source
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
Text‐analysis reveals taxonomic and geographic disparities in animal pollination literature
Ecography, Volume 43, Issue 1, Page 44-59, January 2020., 2020 Ecological systematic reviews and meta‐analyses have significantly increased our understanding of global biodiversity decline. However, for some ecological groups, incomplete and biased datasets have hindered our ability to construct robust, predictive models. One such group consists of the animal pollinators.
Joseph W. Millard +2 more
wiley +1 more source