| 1 |
PROTECT: A Pipeline for Propaganda Detection and Classification
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
|
| 2 |
PROTECT - A Pipeline for Propaganda Detection and Classification
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
|
| 3 |
The UK Government's "balancing act" in the pandemic: rational decision-making from an argumentative perspective
|
|
|
|
BASE
|
|
Show details
|
|
|
| 4 |
"Don't discuss": Investigating Semantic and Argumentative Features for Supervised Propagandist Message Detection and Classification
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
|
| 5 |
Hybrid Emoji-Based Masked Language Models for Zero-Shot Abusive Language Detection
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
|
| 6 |
A Multilingual Evaluation for Online Hate Speech Detection
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
|
| 7 |
Generating Adversarial Examples for Topic-dependent Argument Classification
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
|
| 8 |
Regrexit or not Regrexit: Aspect-based Sentiment Analysis in Polarized Contexts
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
|
| 10 |
Yes, we can! Mining Arguments in 50 Years of US Presidential Campaign Debates
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
|
| 11 |
Overwhelmed by Negative Emotions? Maybe You Are Being Cyber-bullied!
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
|
| 12 |
Cross-Platform Evaluation for Italian Hate Speech Detection
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
|
| 13 |
Explainable, Trustable and Emphatic Artificial Intelligence from Formal Argumentation Theory to Argumentation for Humans
|
|
|
|
In: https://hal.archives-ouvertes.fr/tel-01973555 ; Computer science. UNIVERSITÉ CÔTE D’AZUR, 2018 (2018)
|
|
BASE
|
|
Show details
|
|
|
| 14 |
Argument Mining on Clinical Trials
|
|
|
|
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)
|
|
BASE
|
|
Show details
|
|
|
| 15 |
Increasing Argument Annotation Reproducibility by Using Inter-annotator Agreement to Improve Guidelines
|
|
|
|
In: Proceedings of the Eleventh International Conference on Language Resources and Evaluation, LREC 2018 ; LREC 2018 - 11th International Conference on Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-01876506 ; LREC 2018 - 11th International Conference on Language Resources and Evaluation, May 2018, Miyazaki, Japan. pp.1-4 (2018)
|
|
BASE
|
|
Show details
|
|
|
| 16 |
Never Retreat, Never Retract: Argumentation Analysis for Political Speeches
|
|
|
|
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)
|
|
Abstract:
International audience ; In this work, we apply argumentation mining techniques, in particular relation prediction, to study political speeches in monological form, where there is no direct interaction between opponents. We argue that this kind of technique can effectively support researchers in history, social and political sciences, which must deal with an increasing amount of data in digital form and need ways to automatically extract and analyse argumentation patterns. We test and discuss our approach based on the analysis of documents issued by R. Nixon and J. F. Kennedy during 1960 presidential campaign. We rely on a supervised classifier to predict argument relations (i.e., support and attack), obtaining an accuracy of 0.72 on a dataset of 1,462 argument pairs. The application of argument mining to such data allows not only to highlight the main points of agreement and disagreement between the candidates' arguments over the campaign issues such as Cuba, disarmament and health-care, but also an in-depth argumentative analysis of the respective viewpoints on these topics.
|
|
Keyword:
[SCCO.COMP]Cognitive science/Computer science; [SCCO.LING]Cognitive science/Linguistics; Argument mining; Political speeches; Support and attack classification
|
|
URL: https://hal.archives-ouvertes.fr/hal-01876442/file/16393-76780-1-PB%281%29.pdf
https://hal.archives-ouvertes.fr/hal-01876442
https://hal.archives-ouvertes.fr/hal-01876442/document
|
|
BASE
|
|
Hide details
|
|
|
| 17 |
InriaFBK at Germeval 2018: Identifying Offensive Tweets Using Recurrent Neural Networks
|
|
|
|
In: http://hw.oeaw.ac.at/8435-5 (2018)
|
|
BASE
|
|
Show details
|
|
|
| 18 |
Towards Artificial Argumentation
|
|
|
|
In: ISSN: 0738-4602 ; AI magazine ; https://hal.archives-ouvertes.fr/hal-01643470 ; AI magazine, Association for the Advancement of Artificial Intelligence, 2017, 38 (3), ⟨10.1609/aimag.v38i3.2704⟩ (2017)
|
|
BASE
|
|
Show details
|
|
|
| 19 |
Legal NERC with ontologies, Wikipedia and curriculum learning
|
|
|
|
In: 15th European Chapter of the Association for Computational Linguistics (EACL 2017) ; https://hal.archives-ouvertes.fr/hal-01572444 ; 15th European Chapter of the Association for Computational Linguistics (EACL 2017), 2017, Valencia, Spain. pp.254 - 259, ⟨10.18653/v1/E17-2041⟩ (2017)
|
|
BASE
|
|
Show details
|
|
|
| 20 |
Abstract Dialectical Frameworks for Text Exploration
|
|
|
|
In: Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART-2016) ; https://hal.inria.fr/hal-01333347 ; Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART-2016), Feb 2016, Rome, Italy (2016)
|
|
BASE
|
|
Show details
|
|
|
|
|
