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Author(s): Cruz, André
Rocha, Gil
Sousa-Silva, Rui
Cardoso, Henrique Lopes
Title: Team Fernando-Pessa at SemEval-2019 Task 4: back to basics in Hyperpartisan News Detection
Issue Date: 2019
Abstract: This paper describes our submission1 to theSemEval 2019 Hyperpartisan News Detectiontask. Our system aims for a linguistics-baseddocument classification from a minimal setof interpretable features, while maintaininggood performance. To this goal, we followa feature-based approach and perform severalexperiments with different machine learningclassifiers. On the main task, our modelachieved an accuracy of 71.7%, which wasimproved after the task's end to 72.9%. Wealso participate in the meta-learning sub-task,for classifying documents with the binary classificationsof all submitted systems as input,achieving an accuracy of 89.9%.
Subject: Humanidades
Source: Proceedings of the 13th International Workshop on Semantic Evaluation
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: openAccess
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional
FLUP - Artigo em Livro de Atas de Conferência Internacional

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