Rouletabille at SemEval-2019 Task 4: Neural Network Baseline for Identification of Hyperpartisan Publishers - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2019

Rouletabille at SemEval-2019 Task 4: Neural Network Baseline for Identification of Hyperpartisan Publishers

Résumé

This paper describes the Rouletabille participation to the Hyperpartisan News Detection task. We propose the use of different text classification methods for this task. Preliminary experiments using a similar collection used in (Potthast et al., 2018) show that neural-based classification methods reach state-of-the art results. Our final submission is composed of a unique run that ranks among all runs at 3/49 position for the by-publisher test dataset and 43/96 for the by-article test dataset in terms of Accuracy.
Fichier principal
Vignette du fichier
moreno_24992.pdf (187.18 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02419435 , version 1 (19-12-2019)

Identifiants

  • HAL Id : hal-02419435 , version 1
  • OATAO : 24992

Citer

Jose G. Moreno, Yoann Pitarch, Karen Pinel-Sauvagnat, Gilles Hubert. Rouletabille at SemEval-2019 Task 4: Neural Network Baseline for Identification of Hyperpartisan Publishers. 13th International Workshop on Semantic Evaluation (SEMEVAL 2019), Jun 2019, Minneapolis, United States. pp.981-984. ⟨hal-02419435⟩
56 Consultations
57 Téléchargements

Partager

Gmail Facebook X LinkedIn More