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Browsing by Author "Chulvi Ferriols, María Alberta"

Now showing items 1-13 of 13

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 ...
Automatic detection of health misinformation: a systematic review

Baris-Schlicht, Ipek; Fernandez, Eugenia; Chulvi-Ferriols, María Alberta; Rosso, Paolo (Springer, 2023-05-27)

[EN] The spread of health misinformation has the potential to cause serious harm to public health, from leading to vaccine hesitancy to adoption of unproven disease treatments. In addition, it could have other effects on ...
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 ...
Everybody Hurts, Sometimes Overview of HUrtful HUmour at IberLEF 2023: Detection of Humour Spreading Prejudice in Twitter

Labadie Tamayo, Roberto; Chulvi-Ferriols, María Alberta; Rosso, Paolo (Sociedad Española para el Procesamiento del Lenguaje Natural, 2023-09)

[ES] El humor es una estrategia eficiente para propagar prejuicios porque, la mayoría de las veces, elude el juicio moral. Sin embargo, perpetúa estereotipos y, al hacerlo, justifica actos discriminatorios. En HUHU roponemos ...
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 ...
Identificación y clasificación de contenido sexista en memes

Maeso Olmos, Alba (Universitat Politècnica de València, 2024-09-13)

[ES] El elevado número de contenido sexista dirigido hacia las mujeres en la web y su amplia difusión en las redes sociales, constituye un serio problema para las mujeres y la sociedad en general. Este fenómeno no se ...
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 AuTexTification at IberLEF 2023: Detection and Attribution of Machine-Generated Text in Multiple Domains

Sarvazyan, Areg Mikael; González, José Ángel; Franco-Salvador, Marc; Rangel, Francisco; Chulvi-Ferriols, María Alberta; Rosso, Paolo (Sociedad Española para el Procesamiento del Lenguaje Natural, 2023-09)

[EN] This paper presents the overview of the AuTexTification shared task as part of the IberLEF 2023 Workshop in Iberian Languages Evaluation Forum, within the framework of the SEPLN 2023 conference. AuTexTification consists ...
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 ...
Sexism Identification on TikTok: a Multimodal AI Approach with Text, Audio, and Video

Arcos Gabaldón, Iván (Universitat Politècnica de València, 2024-09-04)

[EN] Sexism persists as a pervasive issue in society, particularly evident on social media platforms like TikTok. This phenomenon encompasses a spectrum of expressions, ranging from subtle biases to explicit misogyny, ...
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 ...