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Listar por autor "Chulvi Ferriols, María Alberta"

Mostrando ítems 1-8 de 8

An emotion and cognitive based analysis of mental health disorders from social media data

Uban, Ana-Sabina; Chulvi-Ferriols, María Alberta; Rosso, Paolo (Elsevier, 2021-11)

[EN] Mental disorders can severely affect quality of life, constitute a major predictive factor of suicide, and are usually underdiagnosed and undertreated. Early detection of signs of mental health problems is particularly ...
Challenges in Humor Recognition: Cross-language Perspective and Hurtfulness Analysis

Labadie Tamayo, Roberto (Universitat Politècnica de València, 2023-10-06)

[ES] En el campo de la Procesamiento del Lenguaje Natural (PLN), el reconocimiento del humor presenta retos distintivos para su completa comprensión que se derivan de la necesidad de incorporar no sólo recursos léxicos ...
How Do You Speak about Immigrants? Taxonomy and StereoImmigrants Dataset for Identifying Stereotypes about Immigrants

Sánchez-Junquera, Javier; Chulvi-Ferriols, María Alberta; Rosso, Paolo; Ponzetto, Simone Paolo (MDPI AG, 2021-04)

[EN] Stereotype is a type of social bias massively present in texts that computational models use. There are stereotypes that present special difficulties because they do not rely on personal attributes. This is the case ...
Masking and BERT-based Models for Stereotype Identication

Sánchez-Junquera, Juan Javier; Rosso, Paolo; Montes Gomez, Manuel; Chulvi-Ferriols, María Alberta (Sociedad Española para el Procesamiento del Lenguaje Natural, 2021-09)

[EN] Stereotypes about immigrants are a type of social bias increasingly present in the human interaction in social networks and political speeches. This challenging task is being studied by computational linguistics because ...
Overview of PAN 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection.

Bevendorff, Janek; Chulvi-Ferriols, María Alberta; Peña-Sarracén, Gretel Liz de la; Kestemont, Mike; Manjavacas, Enrique; Markov, Ilia; Mayerl, Maximilian; Potthast, Martin; Rangel, Francisco; Rosso, Paolo; Stamatatos, Efstathios; Stein, Benno; Wiegmann, Matti; Wolska, Magdalena; Zangerle, Eva (Springer, 2021-04-01)

[EN] The paper gives a brief overview of the three shared tasks to be organized at the PAN 2021 lab on digital text forensics and stylometry hosted at the CLEF conference. The tasks include authorship verification across ...
Profiling hate speech spreaders on twitter task at PAN 2021

Rangel, Francisco; Peña-Sarracén, Gretel Liz de la; Chulvi-Ferriols, María Alberta; Fersini, Elisabetta; Rosso, Paolo (CEUR, 2021-09-24)

[EN] This overview presents the Author Profiling shared task at PAN 2021. The focus of this year¿s task is on determining whether or not the author of a Twitter feed is keen to spread hate speech. The main aim is to show ...
UPV-Symanto at eRisk 2021: Mental Health Author Profiling for Early Risk Prediction on the Internet

Basile, Angelo; Chinea-Ríos, Mara; Uban, Ana-Sabina; Müller, Thomas; Rössler, Luise; Yenikent, Seren; Chulvi-Ferriols, María Alberta; Rosso, Paolo; Franco-Salvador, Marc (CEUR, 2021-09-24)

[EN] This paper presents the contributions of the UPV-Symanto team, a collaboration between Symanto Research and the PRHLT Center, in the eRisk 2021 shared tasks on gambling addiction, self-harm detection and prediction ...
When humour Hurts: A Computational Linguistic Approach

Merlo, Lucía Inés (Universitat Politècnica de València, 2022-10-18)

[EN] Traditionally, humour is considered as a funny way of communication. Although it can achieve laughter in the receptor by making use of non hurtful language, it is not always like that. Frequently, humour is applied ...