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Publications
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Conversation-Based Multimodal Abuse Detection Through Text and Graph EmbeddingsComputing, 2025
Article dans une revue
hal-04993092
v1
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Whole-Graph Representation Learning For the Classification of Signed NetworksIEEE Access, 2024, 12, pp.151303-151316. ⟨10.1109/ACCESS.2024.3472474⟩
Article dans une revue
hal-04712854
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Approche multimodale par plongements de texte et de graphes pour la détection de messages abusifsRevue TAL : traitement automatique des langues, 2021, 62 (2), pp.13-38
Article dans une revue
hal-03527016
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Graph embeddings for Abusive Language DetectionSN Computer Science, 2021, 2, pp.37. ⟨10.1007/s42979-020-00413-7⟩
Article dans une revue
hal-03042171
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Tuning Graph2vec with Node Labels for Abuse Detection in Online Conversations11ème Conférence Modèles & Analyse de Réseaux : approches mathématiques et informatiques (MARAMI), Oct 2020, Montpellier, France
Communication dans un congrès
hal-02993571
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WAC: A Corpus of Wikipedia Conversations for Online Abuse Detection12th International Conference on Language Resources and Evaluation (LREC), May 2020, Marseille, France. pp.1375-1383
Communication dans un congrès
hal-02497514
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Abusive Language Detection in Online Conversations by Combining Content- and Graph-based FeaturesICWSM International Workshop on Modeling and Mining Social-Media-Driven Complex Networks, Jun 2019, Munich, Germany. pp.8
Communication dans un congrès
hal-02130205
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Abusive Language Detection in Online Conversations by Combining Content- and Graph-based FeaturesMeetup LIAvignon, Nov 2022, Avignon, France. 2022
Poster de conférence
hal-03857928
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Combining Graph and Text to Model Conversations: An Application to Online Abuse DetectionComputer Science [cs]. Avignon Université, 2024. English. ⟨NNT : ⟩
Thèse
tel-04441308
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