Mining RDF Data of COVID-19 Scientific Literature for Interesting Association Rules. - Lucie Cadorel; Andrea G. B. Tettamanzi (WI/IAT, 2020)

ARViz: Interactive Visualization of Association Rules for RDF Data Exploration. - Aline Menin; Lucie Cadorel; Andrea Tettamanzi; Alain Giboin; Fabien Gandon; Marco Winckler (IV, 2021)

Geospatial Knowledge in Housing Advertisements: Capturing and Extracting Spatial Information from Text. - Lucie Cadorel; Alicia Blanchi; Andrea G. B. Tettamanzi (K-CAP, 2021)

Fuzzy representation of vague spatial descriptions in real estate advertisements. - Lucie Cadorel; Denis Overal; Andrea G. B. Tettamanzi (LocalRec@SIGSPATIAL, 2022)

Studying Urban Space from Textual Data: Toward a Methodological Protocol to Extract Geographic Knowledge from Real Estate Ads. - Alicia Blanchi; Giovanni Fusco 001; Karine Emsellem; Lucie Cadorel (ICCSA (Workshops 2), 2022)

Wimmics/association-rules-mining: Association Rules Mining v1.1. - Lucie Cadorel; Andrea Tettamanzi; Aline Menin (Zenodo, 2022)

Graphes de Connaissances et Ontologie pour la Representation de Données Immobilières Issues d'Annonces en Texte Libre. - Lucie Cadorel; Andrea Tettamanzi; Fabien Gandon (IC, 2023)

A Comparative Study of Text Representations for French Real-Estate Classified Advertisements Information Extraction. - Lucie Cadorel; Andrea G. B. Tettamanzi (ENIGMA@KR, 2023)

SURE-KG dataset. - Lucie Cadorel; Fabien Gandon; Andrea G. B. Tettamanzi (Zenodo, 2023)

NER Models for Geospatial Knowledge in Real Estate Advertisements. - Lucie Cadorel; Andrea G. B. Tettamanzi (Zenodo, 2023)

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 (2024)