Lucie Cadorel

According to our database, Lucie Cadorel authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Qualifying and quantifying uncertainty of geolocation information extracted from french real estated ads. (Localisation sur le territoire et prise en compte de l'incertitude lors de l'extraction des caractéristiques de biens immobiliers à partir d'annonces).

Lucie Cadorel

PhD thesis, 2024

2023

NER Models for Geospatial Knowledge in Real Estate Advertisements.

Lucie Cadorel, Andrea G. B. Tettamanzi

Dataset, May, 2023

SURE-KG dataset.

Lucie Cadorel, Fabien Gandon, Andrea G. B. Tettamanzi

Dataset, May, 2023

A Comparative Study of Text Representations for French Real-Estate Classified Advertisements Information Extraction.

Lucie Cadorel, Andrea G. B. Tettamanzi

Proceedings of 1st Workshop on AI-driven heterogeneous data management: Completing, 2023

Graphes de Connaissances et Ontologie pour la Representation de Données Immobilières Issues d'Annonces en Texte Libre.

Lucie Cadorel, Andrea Tettamanzi, Fabien Gandon

Proceedings of the 34es Journées francophones d'Ingénierie des Connaissances, 2023

2022

Wimmics/association-rules-mining: Association Rules Mining v1.1.

Lucie Cadorel, Andrea Tettamanzi, Aline Menin

Dataset, May, 2022

Studying Urban Space from Textual Data: Toward a Methodological Protocol to Extract Geographic Knowledge from Real Estate Ads.

Alicia Blanchi, Giovanni Fusco, Karine Emsellem, Lucie Cadorel

Proceedings of the Computational Science and Its Applications - ICCSA 2022 Workshops, 2022

Fuzzy representation of vague spatial descriptions in real estate advertisements.

Lucie Cadorel, Denis Overal, Andrea G. B. Tettamanzi

Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-based Recommendations, 2022

2021

Geospatial Knowledge in Housing Advertisements: Capturing and Extracting Spatial Information from Text.

Lucie Cadorel, Alicia Blanchi, Andrea G. B. Tettamanzi

Proceedings of the K-CAP '21: Knowledge Capture Conference, 2021

ARViz: Interactive Visualization of Association Rules for RDF Data Exploration.

Aline Menin, Lucie Cadorel, Andrea Tettamanzi, Alain Giboin, Fabien Gandon, Marco Winckler

Proceedings of the 25th International Conference Information Visualisation, 2021

2020

Mining RDF Data of COVID-19 Scientific Literature for Interesting Association Rules.

Lucie Cadorel, Andrea G. B. Tettamanzi

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020