Overview of TASS 2020: Introducing Emotion Detection
Por:
Garciá-Vegaa M., Diáz-Galiano M.C., Garciá-Cumbreras M.Á., Del Arco F.M.P., Montejo-Raéz A., Jiménez-Zafra S.M., Cámara E.M., Aguilar C.A., Cabezudo M.A.S., Chiruzzo L., Moctezuma D.
Publicada:
1 ene 2020
Categoría:
Computer science (miscellaneous)
Resumen:
The Task on Semantic Analysis at SEPLN (TASS task within IberLEF 2020 workshop) took place on September 22, reaching its ninth edition. Due to the COVID-19 pandemic, the number of participants is lower compared to past campaigns. Also, the organizers decided to held it remotely. In this edition, the classical polarity classification subtask was, again, organized. As a novelty, a second subtask was proposed to foster research in emotion detection of Spanish texts on a new dataset. This paper summarizes the different approaches of the teams who participated, the key insights of their systems and the results obtained for all the proposed solutions. © 2020 Copyright for this paper by its authors. Use permitted under.
Filiaciones:
Garciá-Vegaa M.:
Universidad de Jaén, Ceatic, Jaén, Spain
Diáz-Galiano M.C.:
Universidad de Jaén, Ceatic, Jaén, Spain
Garciá-Cumbreras M.Á.:
Universidad de Jaén, Ceatic, Jaén, Spain
Del Arco F.M.P.:
Universidad de Jaén, Ceatic, Jaén, Spain
Montejo-Raéz A.:
Universidad de Jaén, Ceatic, Jaén, Spain
Jiménez-Zafra S.M.:
Universidad de Jaén, Ceatic, Jaén, Spain
Cámara E.M.:
Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), Universidad de Granada, Spain
Aguilar C.A.:
Universidad Católica de Chile, Chile
Cabezudo M.A.S.:
Universidade de São Paulo, Brazil
Chiruzzo L.:
Universidad de la República Montevideo, Uruguay
Moctezuma D.:
CONACyT-CentroGEO, Mexico
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