Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/181257
Title: Overview of EXIST 2021: sEXism Identification in Social neTworks
Author: Rodríguez-Sánchez, Francisco
Carrillo-de-Albornoz, Jorge
Plaza, Laura
Gonzalo, Julio
Rosso, Paolo
Comet, Miriam
Donoso Vázquez, Trinidad
Keywords: Sexisme
Llenguatge a Internet
Comunitats virtuals
Sexism
Internet Slang
Online social networks
Issue Date: Sep-2021
Publisher: Sociedad Española para el Procesamiento del Lenguaje Natural (SEPLN)
Abstract: The paper describes the organization, goals, and results of the sEXism Identification in Social neTworks (EXIST) challenge, a shared task proposed for the first time at IberLEF 2021. EXIST 2021 proposes two challenges: sexism identification and sexism categorization of tweets and gabs, both in Spanish and English. We have received a total of 70 runs for the sexism identification task and 61 for the sexism categorization challenge, submitted by 31 different teams from 11 countries. We present the dataset, the evaluation methodology, an overview of the proposed systems, and the results obtained. The final dataset consists of more than 11,000 annotated texts from two social networks (Twitter and Gab) and its development has been supervised and monitored by experts in gender issues.
Note: Reproducció del document publicat a: http://journal.sepln.org/sepln/ojs/ojs/index.php/pln/issue/view/284
It is part of: Procesamiento del lenguaje natural , 2021, vol. 67, p. 195-207
URI: http://hdl.handle.net/2445/181257
ISSN: 1135-5948
Appears in Collections:Articles publicats en revistes (Mètodes d'Investigació i Diagnòstic en Educació)

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