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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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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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Abstract:
International audience ; The increasing popularity of social media platforms like Twitter and Facebook has led to a rise in the presence of hate and aggressive speech on these platforms. Despite the number of approaches recently proposed in the Natural Language Processing research area for detecting these forms of abusive language, the issue of identifying hate speech at scale is still an unsolved problem. In this paper, we propose a robust neural architecture which is shown to perform in a satisfactory way across different languages, namely English, Italian and German. We address an extensive analysis of the obtained experimental results over the three languages to gain a better understanding of the contribution of the different components employed in the system, both from the architecture point of view (i.e., Long Short Term Memory, Gated Recurrent Unit, and bidirectional Long Short Term Memory) and from the feature selection point of view (i.e., ngrams, social network specific features, emotion lexica, emojis, word embeddings). To address such in-depth analysis, we use three freely available datasets for hate speech detection on social media on English, Italian and German.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [SCCO.COMP]Cognitive science/Computer science
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URL: https://doi.org/10.1145/3377323 https://hal.archives-ouvertes.fr/hal-02972184/file/TOIT_CREEP_HAL.pdf https://hal.archives-ouvertes.fr/hal-02972184/document https://hal.archives-ouvertes.fr/hal-02972184
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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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