Automated Geoparsing of Paris Street Names in 19th Century Novels

Abstract : Our project involves building a platform able to retrieve, map and analyze the occurrences of place names in fictional novels published between 1800 and 1914 and whose action occurs wholly or partly in Paris. We describe a proof of concept using queries made via the TXM textual analysis platform for the extraction of street names. Then, we propose a fully automatic process using the named entity recognition (NER) components of the PERDIDO platform. This paper describes some encouraging initial results obtained by combining NLP approaches (NER methods) with textometric tools for the automated geoparsing of street names.
Type de document :
Communication dans un congrès
1st ACM SIGSPATIAL Workshop on Geospatial Humanities, Nov 2017, Redondo Beach, United States. 2017, 〈10.1145/3149858.3149859〉
Liste complète des métadonnées

Littérature citée [34 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01633344
Contributeur : Ludovic Moncla <>
Soumis le : mercredi 15 novembre 2017 - 12:06:34
Dernière modification le : jeudi 16 novembre 2017 - 12:43:10

Identifiants

Citation

Ludovic Moncla, Mauro Gaio, Thierry Joliveau, Yves-François Le Lay. Automated Geoparsing of Paris Street Names in 19th Century Novels. 1st ACM SIGSPATIAL Workshop on Geospatial Humanities, Nov 2017, Redondo Beach, United States. 2017, 〈10.1145/3149858.3149859〉. 〈hal-01633344〉

Partager

Métriques

Consultations de la notice

20