diff --git "a/s\303\251minaires/session9_dec22/README.md" "b/s\303\251minaires/session9_dec22/README.md" index 2eefb2fb8c74f8f27adf6a6b9b14945abfe42b84..170a2df7f96c9a4f989edee6ca19c05d8b5f85fe 100644 --- "a/s\303\251minaires/session9_dec22/README.md" +++ "b/s\303\251minaires/session9_dec22/README.md" @@ -14,7 +14,7 @@ Inscription : [https://framaforms.org/inscription-seminaire-8-decembre-traitemen Xuke Hu (German Aerospace Center) -[<img src="https://projet.liris.cnrs.fr/geode/seminaires-ixxi/session9_dec22/seminaire-session8-presentation1.png" width="650" />](https://projet.liris.cnrs.fr/geode/seminaires-ixxi/session9_dec22/seminaire-session9-presentation1.mp4 "Enregistrement présentation 1" +[<img src="https://projet.liris.cnrs.fr/geode/seminaires-ixxi/session9_dec22/seminaire-session9-presentation1.png" width="650" />](https://projet.liris.cnrs.fr/geode/seminaires-ixxi/session9_dec22/seminaire-session9-presentation1.mp4 "Enregistrement présentation 1") A vast amount of geospatial information exists in natural language texts (e.g., social media posts, website texts, and historical archives) in the form of toponyms, place names, and location descriptions. Extracting geographic information from texts is named geoparsing, which is beneficial not only for scientific studies, such as sociolinguistics and spatial humanities but can also contribute to various practical applications, such as disaster management, urban planning, and disease surveillance. In the presentation, I will share our latest findings in the two sub-tasks of geoparsing: toponym recognition and toponym resolution. Specifically, I will introduce our proposed approaches for the two sub-tasks and compare them with numerous existing ones based on many datasets.