Conference
GeoXTag: Relative Spatial Information Extraction and Tagging of Unstructured Text
| العنوان: | GeoXTag: Relative Spatial Information Extraction and Tagging of Unstructured Text |
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| المؤلفون: | Syed, Mehtab, Alam, Arsevska, Elena, Roche, Mathieu, Teisseire, Maguelonne |
| المساهمون: | Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Département Environnements et Sociétés (Cirad-ES), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Animal, Santé, Territoires, Risques et Ecosystèmes (UMR ASTRE), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Département Systèmes Biologiques (Cirad-BIOS) |
| المصدر: | 25th AGILE Conference on Geographic Information Science https://hal.inrae.fr/hal-03763549 25th AGILE Conference on Geographic Information Science, Jun 2022, Vilnius, Lithuania. pp.1 - 10, ⟨10.5194/agile-giss-3-16-2022⟩ https://agile-online.org/index.php/conference-2022 |
| بيانات النشر: | CCSD |
| سنة النشر: | 2022 |
| المجموعة: | Institut National de la Recherche Agronomique: ProdINRA |
| مصطلحات موضوعية: | Natural Language Processing, Spatial Information, GeoTagger, GeoParser, [INFO]Computer Science [cs] |
| جغرافية الموضوع: | Vilnius, Lithuania |
| الوصف: | International audience ; Spatial information has gained more attention in natural language processing tasks in different interdisciplinary domains. Moreover, the spatial information is available in two forms: Absolute Spatial Information (ASI) e.g., Paris, London, and Germany and Relative Spatial Information (RSI) e.g., south of Paris, north Madrid and 80 km from Rome. Therefore, it is challenging to extract RSI from textual data and compute its geotagging. This paper presents two strategies and the associated prototypes to address the following tasks: 1) extraction of relative spatial information from textual data and 2) geotagging of this relative spatial information. Experiments show promising results for RSI extraction and tagging. |
| نوع الوثيقة: | conference object |
| اللغة: | English |
| Relation: | WOS: 001191137600016 |
| DOI: | 10.5194/agile-giss-3-16-2022 |
| الاتاحة: | https://hal.inrae.fr/hal-03763549 https://hal.inrae.fr/hal-03763549v1/document https://hal.inrae.fr/hal-03763549v1/file/Syed_agile2022.pdf https://doi.org/10.5194/agile-giss-3-16-2022 |
| Rights: | http://creativecommons.org/licenses/by/ ; info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.95533647 |
| قاعدة البيانات: | BASE |
| DOI: | 10.5194/agile-giss-3-16-2022 |
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