Title
Overview of TASS 2020: Introducing Emotion Detection
Date Issued
01 January 2020
Access level
metadata only access
Resource Type
conference presentation
Author(s)
Garciá-Vegaa Manuel
Díaz-Galiano Manuel
García-Cumbreras Miguel
Del Arco F.M.P.
Montejo-Raéz A.
Jiménez-Zafra S.M.
Cámara E.M.
Aguilar C.A.
Chiruzzo L.
Moctezuma D.
Universidade de Saõ Paulo
Publisher(s)
CEUR-WS
Abstract
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.
Start page
163
End page
170
Volume
2664
Language
English
OCDE Knowledge area
Ciencias de la computación
Subjects
Scopus EID
2-s2.0-85092228370
Source
CEUR Workshop Proceedings
Resource of which it is part
CEUR Workshop Proceedings
ISSN of the container
16130073
Sponsor(s)
This work has been partially supported by a grant from the Spanish Government under the LIVING-LANG project (RTI2018-094653-B-C21) . Eugenio Martínez Cámara was supported by the Spanish Government Programme Juan de la Cierva Formación (FJCI-2016-28353).
Sources of information:
Directorio de Producción Científica
Scopus