A multimodal approach for multi-label movie genre classification

Autor: Mangolin, Rafael B., Pereira, Rodolfo M., Britto Jr., Alceu S., Silla Jr., Carlos N., Feltrim, Valéria D., Bertolini, Diego, Costa, Yandre M. G.

Movie genre classification is a challenging task that has increasingly attracted the attention of researchers. In this paper, we addressed the multi-label classification of the movie genres in a multimodal way. For this purpose, we created a dataset

Externí odkaz: http://arxiv.org/abs/2006.00654

Using Rhetorical Structure Theory and Entity Grids to Automatically Evaluate Local Coherence in Texts.

Autor: Dias, Márcio de S., Feltrim, Valéria D., Pardo, Thiago Alexandre Salgueiro

Publikováno v: Computational Processing of the Portuguese Language: 11th International Conference, PROPOR 2014, São Carlos/SP, Brazil, October 6-8, 2014. Proceedings; 2014, p232-243, 12p