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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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| 4 |
"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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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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| 10 |
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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| 11 |
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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| 12 |
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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| 13 |
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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Abstract:
International audience ; Argument-based decision making has been employed to support a variety of reasoning tasks over medical knowledge. These include evidence-based justifications of the effects of treatments, the detection of conflicts in the knowledge base, and the enabling of uncertain and defeasible reasoning in the health-care sector. However, a common limitation of these approaches is that they rely on structured input information. Recent advances in argument mining have shown increasingly accurate results in detecting argument components and predicting their relations from unstructured, natural language texts. In this study, we discuss evidence and claim detection from Randomized Clinical Trials. To this end, we create a new annotated dataset about four different diseases (glaucoma, diabetes, hepatitis B, and hypertension), containing 976 argument components (697 containing evidence, 279 claims). Empirical results are promising, and show the portability of the proposed approach over different branches of medicine.
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Keyword:
[SCCO.COMP]Cognitive science/Computer science; [SCCO.LING]Cognitive science/Linguistics; Argument component detection; clinical trials; dataset
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URL: https://hal.archives-ouvertes.fr/hal-01876462
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| 14 |
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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| 15 |
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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| 16 |
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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| 17 |
Enhancing the Latin Morphological Analyser LEMLAT with a Medieval Latin Glossary
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| 19 |
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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