Zobrazeno 1 - 10
of 134
pro vyhledávání: '"Barrón-Cedeño Alberto"'
The issue of hate speech extends beyond the confines of the online realm. It is a problem with real-life repercussions, prompting most nations to formulate legal frameworks that classify hate speech as a punishable offence. These legal frameworks dif
Externí odkaz:
http://arxiv.org/abs/2412.06144
Hate speech relies heavily on cultural influences, leading to varying individual interpretations. For that reason, we propose a Semantic Componential Analysis (SCA) framework for a cross-cultural and cross-domain analysis of hate speech definitions.
Externí odkaz:
http://arxiv.org/abs/2411.07417
Autor:
Muti, Arianna, Ruggeri, Federico, Al-Khatib, Khalid, Barrón-Cedeño, Alberto, Caselli, Tommaso
We propose misogyny detection as an Argumentative Reasoning task and we investigate the capacity of large language models (LLMs) to understand the implicit reasoning used to convey misogyny in both Italian and English. The central aim is to generate
Externí odkaz:
http://arxiv.org/abs/2409.02519
Autor:
Ruggeri, Federico, Misino, Eleonora, Muti, Arianna, Korre, Katerina, Torroni, Paolo, Barrón-Cedeño, Alberto
We introduce the Guideline-Centered Annotation Methodology (GCAM), a novel data annotation methodology designed to report the annotation guidelines associated with each data sample. Our approach addresses three key limitations of the standard prescri
Externí odkaz:
http://arxiv.org/abs/2406.14099
Autor:
Sosto, Mae, Barrón-Cedeño, Alberto
With the increasing role of Natural Language Processing (NLP) in various applications, challenges concerning bias and stereotype perpetuation are accentuated, which often leads to hate speech and harm. Despite existing studies on sexism and misogyny,
Externí odkaz:
http://arxiv.org/abs/2406.12399
Autor:
Muti, Arianna, Ruggeri, Federico, Toraman, Cagri, Musetti, Lorenzo, Algherini, Samuel, Ronchi, Silvia, Saretto, Gianmarco, Zapparoli, Caterina, Barrón-Cedeño, Alberto
Misogyny is often expressed through figurative language. Some neutral words can assume a negative connotation when functioning as pejorative epithets. Disambiguating the meaning of such terms might help the detection of misogyny. In order to address
Externí odkaz:
http://arxiv.org/abs/2404.02681
Autor:
Antici, Francesco, Galassi, Andrea, Ruggeri, Federico, Korre, Katerina, Muti, Arianna, Bardi, Alessandra, Fedotova, Alice, Barrón-Cedeño, Alberto
We develop novel annotation guidelines for sentence-level subjectivity detection, which are not limited to language-specific cues. We use our guidelines to collect NewsSD-ENG, a corpus of 638 objective and 411 subjective sentences extracted from Engl
Externí odkaz:
http://arxiv.org/abs/2305.18034
Autor:
Elsayed, Tamer, Nakov, Preslav, Barrón-Cedeño, Alberto, Hasanain, Maram, Suwaileh, Reem, Martino, Giovanni Da San, Atanasova, Pepa
Publikováno v:
CLEF-2019
We present an overview of the second edition of the CheckThat! Lab at CLEF 2019. The lab featured two tasks in two different languages: English and Arabic. Task 1 (English) challenged the participating systems to predict which claims in a political d
Externí odkaz:
http://arxiv.org/abs/2109.15118
Autor:
Nakov, Preslav, Martino, Giovanni Da San, Elsayed, Tamer, Barrón-Cedeño, Alberto, Míguez, Rubén, Shaar, Shaden, Alam, Firoj, Haouari, Fatima, Hasanain, Maram, Mansour, Watheq, Hamdan, Bayan, Ali, Zien Sheikh, Babulkov, Nikolay, Nikolov, Alex, Shahi, Gautam Kishore, Struß, Julia Maria, Mandl, Thomas, Kutlu, Mucahid, Kartal, Yavuz Selim
Publikováno v:
CLEF-2021
We describe the fourth edition of the CheckThat! Lab, part of the 2021 Conference and Labs of the Evaluation Forum (CLEF). The lab evaluates technology supporting tasks related to factuality, and covers Arabic, Bulgarian, English, Spanish, and Turkis
Externí odkaz:
http://arxiv.org/abs/2109.12987