TASS 2018: The Strength of Deep Learning in Language Understanding Tasks

Manuel Carlos Díaz-Galiano, Miguel Á. García-Cumbreras, Manuel García-Vega, Yoan Gutiérrez, Eugenio Martínez Cámara, Alejandro Piad-Morffis, Julio Villena-Román


The edition of TASS in 2018 was the edition of the evolution of TASS to a competitive evaluation workshop on semantic and text understanding tasks. Consequently, TASS has enlarged the coverage of tasks, and it goes beyond sentiment analysis. Thereby, two new tasks focused on semantic relation extraction in the health domain and emotion classification in the news domain were added to the two traditional tasks of TASS, namely sentiment analysis at tweet level and aspect level. Several systems were submitted, and most of them are based on state of the art classification methods, which highlight those ones grounded in Deep Learning. As addition contribution, TASS 2018 released two new corpora, specifically the ones of the two new tasks.

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