no code implementations • LREC 2022 • Arianna Muti, Francesco Fernicola, Alberto Barrón-Cedeño
We target the complementary binary tasks of identifying whether a tweet is misogynous and, if that is the case, whether it is also aggressive.
1 code implementation • SemEval (NAACL) 2022 • Arianna Muti, Katerina Korre, Alberto Barrón-Cedeño
We present our submission to SemEval 2022 Task 5 on Multimedia Automatic Misogyny Identification.
no code implementations • LTEDI (ACL) 2022 • Arianna Muti, Marta Marchiori Manerba, Katerina Korre, Alberto Barrón-Cedeño
Task Hope Speech Detection required models for the automatic identification of hopeful comments for equality, diversity, and inclusion.
no code implementations • ACL 2022 • Arianna Muti, Alberto Barrón-Cedeño
We address the problem of identifying misogyny in tweets in mono and multilingual settings in three languages: English, Italian, and Spanish.
no code implementations • 3 Apr 2024 • Arianna Muti, Federico Ruggeri, Cagri Toraman, Lorenzo Musetti, Samuel Algherini, Silvia Ronchi, Gianmarco Saretto, Caterina Zapparoli, Alberto Barrón-Cedeño
Disambiguating the meaning of such terms might help the detection of misogyny.
1 code implementation • 29 May 2023 • Francesco Antici, Andrea Galassi, Federico Ruggeri, Katerina Korre, Arianna Muti, Alessandra Bardi, Alice Fedotova, Alberto Barrón-Cedeño
We develop novel annotation guidelines for sentence-level subjectivity detection, which are not limited to language-specific cues.
no code implementations • 25 Sep 2021 • Tamer Elsayed, Preslav Nakov, Alberto Barrón-Cedeño, Maram Hasanain, Reem Suwaileh, Giovanni Da San Martino, Pepa Atanasova
We present an overview of the second edition of the CheckThat!
no code implementations • 23 Sep 2021 • Preslav Nakov, Giovanni Da San Martino, Tamer Elsayed, Alberto Barrón-Cedeño, Rubén Míguez, Shaden Shaar, Firoj Alam, Fatima Haouari, Maram Hasanain, Watheq Mansour, Bayan Hamdan, Zien Sheikh Ali, Nikolay Babulkov, Alex Nikolov, Gautam Kishore Shahi, Julia Maria Struß, Thomas Mandl, Mucahid Kutlu, Yavuz Selim Kartal
We describe the fourth edition of the CheckThat!
no code implementations • 13 Mar 2021 • Preslav Nakov, David Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, Giovanni Da San Martino
The reporting and the analysis of current events around the globe has expanded from professional, editor-lead journalism all the way to citizen journalism.
no code implementations • ACL 2020 • Giovanni Da San Martino, Shaden Shaar, Yifan Zhang, Seunghak Yu, Alberto Barrón-Cedeño, Preslav Nakov
However, little attention has been paid to the specific rhetorical and psychological techniques used to convey propaganda messages.
1 code implementation • 3 May 2020 • Cristina España-Bonet, Alberto Barrón-Cedeño, Lluís Màrquez
Our best metric for domainness shows a strong correlation with the human-judged precision, representing a reasonable automatic alternative to assess the quality of domain-specific corpora.
no code implementations • 14 Dec 2019 • Pepa Gencheva, Ivan Koychev, Lluís Màrquez, Alberto Barrón-Cedeño, Preslav Nakov
In the context of investigative journalism, we address the problem of automatically identifying which claims in a given document are most worthy and should be prioritized for fact-checking.
no code implementations • 14 Dec 2019 • Alberto Barrón-Cedeño, Giovanni Da San Martino, Israa Jaradat, Preslav Nakov
We present proppy, the first publicly available real-world, real-time propaganda detection system for online news, which aims at raising awareness, thus potentially limiting the impact of propaganda and helping fight disinformation.
no code implementations • EMNLP 2015 • Shafiq Joty, Alberto Barrón-Cedeño, Giovanni Da San Martino, Simone Filice, Lluís Màrquez, Alessandro Moschitti, Preslav Nakov
Community question answering, a recent evolution of question answering in the Web context, allows a user to quickly consult the opinion of a number of people on a particular topic, thus taking advantage of the wisdom of the crowd.
no code implementations • WS 2019 • Giovanni Da San Martino, Alberto Barrón-Cedeño, Preslav Nakov
FLC is a fragment-level task that asks for the identification of propagandist text fragments in a news article and also for the prediction of the specific propaganda technique used in each such fragment (18-way classification task).
no code implementations • 6 Oct 2019 • Giovanni Da San Martino, Seunghak Yu, Alberto Barrón-Cedeño, Rostislav Petrov, Preslav Nakov
Propaganda aims at influencing people's mindset with the purpose of advancing a specific agenda.
no code implementations • IJCNLP 2019 • Yifan Zhang, Giovanni Da San Martino, Alberto Barrón-Cedeño, Salvatore Romeo, Jisun An, Haewoon Kwak, Todor Staykovski, Israa Jaradat, Georgi Karadzhov, Ramy Baly, Kareem Darwish, James Glass, Preslav Nakov
We introduce Tanbih, a news aggregator with intelligent analysis tools to help readers understanding what's behind a news story.
no code implementations • RANLP 2019 • Slavena Vasileva, Pepa Atanasova, Lluís Màrquez, Alberto Barrón-Cedeño, Preslav Nakov
We propose a multi-task deep-learning approach for estimating the check-worthiness of claims in political debates.
1 code implementation • 4 Aug 2019 • Pepa Atanasova, Preslav Nakov, Lluís Màrquez, Alberto Barrón-Cedeño, Georgi Karadzhov, Tsvetomila Mihaylova, Mitra Mohtarami, James Glass
We study the problem of automatic fact-checking, paying special attention to the impact of contextual and discourse information.
no code implementations • SEMEVAL 2019 • Abdelrhman Saleh, Ramy Baly, Alberto Barrón-Cedeño, Giovanni Da San Martino, Mitra Mohtarami, Preslav Nakov, James Glass
In this paper, we describe our submission to SemEval-2019 Task 4 on Hyperpartisan News Detection.
1 code implementation • 11 Sep 2018 • Yonatan Belinkov, Alexander Magidow, Alberto Barrón-Cedeño, Avi Shmidman, Maxim Romanov
Arabic is a widely-spoken language with a long and rich history, but existing corpora and language technology focus mostly on modern Arabic and its varieties.
no code implementations • 18 Apr 2017 • Cristina España-Bonet, Ádám Csaba Varga, Alberto Barrón-Cedeño, Josef van Genabith
First, we systematically study the NMT context vectors, i. e. output of the encoder, and their power as an interlingua representation of a sentence.
no code implementations • 18 Oct 2016 • Giovanni Da San Martino, Alberto Barrón-Cedeño, Salvatore Romeo, Alessandro Moschitti, Shafiq Joty, Fahad A. Al Obaidli, Kateryna Tymoshenko, Antonio Uva
In the case of the Arabic question re-ranking task, for the first time we applied tree kernels on syntactic trees of Arabic sentences.