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PROTECT: A Pipeline for Propaganda Detection and Classification
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In: CLiC-it 2021- Italian Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03417019 ; CLiC-it 2021- Italian Conference on Computational Linguistics, Jan 2022, Milan, Italy (2022)
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PROTECT - A Pipeline for Propaganda Detection and Classification
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In: Eighth Italian Conference on Computational Linguistics (CLIC-it 2021) ; https://hal.archives-ouvertes.fr/hal-03417019 ; Eighth Italian Conference on Computational Linguistics (CLIC-it 2021), Jan 2022, Milan, Italy (2022)
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Lyrics segmentation via bimodal text–audio representation
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In: ISSN: 1351-3249 ; EISSN: 1469-8110 ; Natural Language Engineering ; https://hal.archives-ouvertes.fr/hal-03295581 ; Natural Language Engineering, Cambridge University Press (CUP), 2021, pp.1-20. ⟨10.1017/S1351324921000024⟩ (2021)
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"Don't discuss": Investigating Semantic and Argumentative Features for Supervised Propagandist Message Detection and Classification
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In: RANLP 2021 - Recent Advances in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-03314797 ; RANLP 2021 - Recent Advances in Natural Language Processing, Sep 2021, Varna / Virtual, Bulgaria (2021)
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Abstract:
International audience ; One of the mechanisms through which disinformation is spreading online, in particular through social media, is by employing propaganda techniques. These include specific rhetorical and psychological strategies, ranging from leveraging on emotions to exploiting logical fallacies. In this paper, our goal is to push forward research on propaganda detection based on text analysis, given the crucial role these methods may play to address this main societal issue. More precisely, we propose a supervised approach to classify textual snippets both as propaganda messages and according to the precise applied propaganda technique, as well as a detailed linguistic analysis of the features characterising propaganda information in text (e.g., semantic, sentiment and argumentation features). Extensive experiments conducted on two available propagandist resources (i.e., NLP4IF'19 and SemEval'20-Task 11 datasets) show that the proposed approach, leveraging different language models and the investigated linguistic features, achieves very promising results on propaganda classification, both at sentence and at fragment-level.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
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URL: https://hal.archives-ouvertes.fr/hal-03314797/file/RANLP_2021_Propaganda_Detection.pdf https://hal.archives-ouvertes.fr/hal-03314797/document https://hal.archives-ouvertes.fr/hal-03314797
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Hybrid Emoji-Based Masked Language Models for Zero-Shot Abusive Language Detection
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In: EMNLP 2020 - Conference on Empirical Methods in Natural Language Processing ; https://hal.archives-ouvertes.fr/hal-02972203 ; EMNLP 2020 - Conference on Empirical Methods in Natural Language Processing, Nov 2020, Virtual, France (2020)
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A Multilingual Evaluation for Online Hate Speech Detection
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In: ISSN: 1533-5399 ; ACM Transactions on Internet Technology ; https://hal.archives-ouvertes.fr/hal-02972184 ; ACM Transactions on Internet Technology, Association for Computing Machinery, 2020, 20 (2), pp.1-22. ⟨10.1145/3377323⟩ (2020)
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Generating Adversarial Examples for Topic-dependent Argument Classification
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In: COMMA 2020 - 8th International Conference on Computational Models of Argument ; https://hal.archives-ouvertes.fr/hal-02933266 ; COMMA 2020 - 8th International Conference on Computational Models of Argument, Sep 2020, Perugia, Italy (2020)
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Regrexit or not Regrexit: Aspect-based Sentiment Analysis in Polarized Contexts
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In: COLING'2020 - 28th International Conference on Computational Linguistics (COLING'2020) ; https://hal.inria.fr/hal-03031812 ; COLING'2020 - 28th International Conference on Computational Linguistics (COLING'2020), Dec 2020, Barcelona / Online, Spain (2020)
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Yes, we can! Mining Arguments in 50 Years of US Presidential Campaign Debates
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In: ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics ; https://hal.inria.fr/hal-02194887 ; ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Jul 2019, Florence, Italy. pp.4684-4690 (2019)
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Overwhelmed by Negative Emotions? Maybe You Are Being Cyber-bullied!
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In: Symposium On Applied Computing ; SAC 2019 - The 34th ACM/SIGAPP Symposium On Applied Computing ; https://hal.archives-ouvertes.fr/hal-02020829 ; SAC 2019 - The 34th ACM/SIGAPP Symposium On Applied Computing, Apr 2019, Limassol, Cyprus. ⟨10.1145/3297280.3297573⟩ (2019)
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Cross-Platform Evaluation for Italian Hate Speech Detection
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In: CLiC-it 2019 - 6th Annual Conference of the Italian Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02381152 ; CLiC-it 2019 - 6th Annual Conference of the Italian Association for Computational Linguistics, Nov 2019, Bari, Italy (2019)
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Argument Mining on Clinical Trials
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In: COMMA 2018 - 7th International Conference on Computational Models of Argument Proceedings ; https://hal.archives-ouvertes.fr/hal-01876462 ; COMMA 2018 - 7th International Conference on Computational Models of Argument Proceedings, Sep 2018, Warsaw, Poland. pp.137 - 148 (2018)
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Lyrics Segmentation: Textual Macrostructure Detection using Convolutions ; Segmenter les paroles de chansons : détection par réseau de neurones convolutif d’une macrostructure textuelle
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In: Proceedings of the 27th International Conference on Computational Linguistics ; Conference on Computational Linguistics (COLING) ; https://hal.archives-ouvertes.fr/hal-01883561 ; Conference on Computational Linguistics (COLING), Aug 2018, Santa Fe, New Mexico, United States. pp.2044-2054 (2018)
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Never Retreat, Never Retract: Argumentation Analysis for Political Speeches
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In: Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence ; AAAI 2018 - 32nd AAAI Conference on Artificial Intelligence ; https://hal.archives-ouvertes.fr/hal-01876442 ; AAAI 2018 - 32nd AAAI Conference on Artificial Intelligence, Feb 2018, New Orleans, United States. pp.4889-4896 ; https://aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/16393 (2018)
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InriaFBK at Germeval 2018: Identifying Offensive Tweets Using Recurrent Neural Networks
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In: http://hw.oeaw.ac.at/8435-5 (2018)
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Enhancing the Latin Morphological Analyser LEMLAT with a Medieval Latin Glossary
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Using and evaluating TRACER for an Index fontium computatus of the Summa contra Gentiles of Thomas Aquinas
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The iDAI.publication: Extracting and Linking Information in the Publications of the German Archaeological Institute (DAI)
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Mambrini, Francesco (orcid:0000-0003-0834-7562). - : CEUR-WS, 2018. : country:ITA, 2018. : place:Torino, 2018
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