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Psychiatry on Twitter: Content Analysis of the Use of Psychiatric Terms in French
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In: ISSN: 2561-326X ; JMIR Formative Research ; https://hal.archives-ouvertes.fr/hal-03614832 ; JMIR Formative Research, JMIR Publications 2022, 6 (2), pp.e18539. ⟨10.2196/18539⟩ ; https://formative.jmir.org/2022/2/e18539 (2022)
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Emotionally Informed Hate Speech Detection: A Multi-target Perspective
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In: ISSN: 1866-9956 ; EISSN: 1866-9964 ; Cognitive Computation ; https://hal.archives-ouvertes.fr/hal-03275549 ; Cognitive Computation, Springer, 2021, 13 (4), ⟨10.1007/s12559-021-09862-5⟩ ; https://link.springer.com/article/10.1007%2Fs12559-021-09862-5 (2021)
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Abstract:
International audience ; Abstract Hate Speech and harassment are widespread in online communication, due to users' freedom and anonymity and the lack of regulation provided by social media platforms. Hate speech is topically focused (misogyny, sexism, racism, xenophobia, homophobia, etc.), and each specific manifestation of hate speech targets different vulnerable groups based on characteristics such as gender (misogyny, sexism), ethnicity, race, religion (xenophobia, racism, Islamophobia), sexual orientation (homophobia), and so on. Most automatic hate speech detection approaches cast the problem into a binary classification task without addressing either the topical focus or the target-oriented nature of hate speech. In this paper, we propose to tackle, for the first time, hate speech detection from a multi-target perspective. We leverage manually annotated datasets, to investigate the problem of transferring knowledge from different datasets with different topical focuses and targets. Our contribution is threefold: (1) we explore the ability of hate speech detection models to capture common properties from topic-generic datasets and transfer this knowledge to recognize specific manifestations of hate speech; (2) we experiment with the development of models to detect both topics (racism, xenophobia, sexism, misogyny) and hate speech targets, going beyond standard binary classification, to investigate how to detect hate speech at a finer level of granularity and how to transfer knowledge across different topics and targets ; and (3) we study the impact of affective knowledge encoded in sentic computing resources (SenticNet, EmoSenticNet) and in semantically structured hate lexicons (HurtLex) in determining specific manifestations of hate speech. We experimented with different neural models including multitask approaches. Our study shows that: (1) training a model on a combination of several (training sets from several) topic-specific datasets is more effective than training a model on a topic-generic dataset; (2) the multi-task approach outperforms a single-task model when detecting both the hatefulness of a tweet and its topical focus in the context of a multi-label classification approach; and (3) the models incorporating EmoSenticNet emotions, the first level emotions of SenticNet, a blend of SenticNet and EmoSenticNet emotions or affective features based on Hurtlex, obtained the best results. Our results demonstrate that multi-target hate speech detection from existing datasets is feasible, which is a first step towards hate speech detection for a specific topic/target when dedicated annotated data are missing. Moreover, we prove that domain-independent affective knowledge, injected into our models, helps finer-grained hate speech detection.
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Keyword:
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; Affective resources; Hate speech detection; Hate speech targets; Multi-task learning; Social media
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URL: https://hal.archives-ouvertes.fr/hal-03275549 https://doi.org/10.1007/s12559-021-09862-5
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Weak supervision for learning discourse structure in multi-party dialogues ; Supervision distante pour l'apprentissage de structures discursives dans les conversations multi-locuteurs
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In: https://tel.archives-ouvertes.fr/tel-03622653 ; Artificial Intelligence [cs.AI]. Université Paul Sabatier - Toulouse III, 2021. English. ⟨NNT : 2021TOU30138⟩ (2021)
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“Be nice to your wife! The restaurants are closed”: Can Gender Stereotype Detection Improve Sexism Classification?
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In: Findings of the Association for Computational Linguistics: EMNLP 2021 ; Conference on Findings of the Association for Computational Linguistics (EMNLP 2021) ; https://hal.archives-ouvertes.fr/hal-03468351 ; Conference on Findings of the Association for Computational Linguistics (EMNLP 2021), ACL: Association for Computational Linguistics, Nov 2021, Punta Cana, Dominican Republic. pp.2833-2844 ; https://aclanthology.org/2021.findings-emnlp.242/ (2021)
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Approaching Roles with Affordances
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In: JOWO 2020. The Joint Ontology Workshops. Proceedings of the Joint Ontology Workshops co-located with the Bolzano Summer of Knowledge (BOSK 2020) ; Workshop on Foundational Ontology (FOUST IV). The Joint Ontology Workshops 2020 (JOWO 2020) ; https://hal.archives-ouvertes.fr/hal-03039638 ; Workshop on Foundational Ontology (FOUST IV). The Joint Ontology Workshops 2020 (JOWO 2020), Sep 2020, Bolzano, Italy ; http://ceur-ws.org/Vol-2708/ (2020)
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An Algerian Corpus and an Annotation Platform for Opinion and Emotion Analysis
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In: Proceedings of the 12th Language Resources and Evaluation Conference ; 12th Language Resources and Evaluation Conference, LREC 2020 ; https://hal.archives-ouvertes.fr/hal-03102495 ; 12th Language Resources and Evaluation Conference, LREC 2020, May 2020, Marseille, France. pp.1202-1210 ; https://www.aclweb.org/anthology/2020.lrec-1.151/ (2020)
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Multilingual Irony Detection with Dependency Syntax and Neural Models
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In: Proceedings of the 28th International Conference on Computational Linguistics ; 28th International Conference on Computational Linguistics (COLING 2020) ; https://hal.archives-ouvertes.fr/hal-03102480 ; 28th International Conference on Computational Linguistics (COLING 2020), Dec 2020, Barcelona (Online), Spain. pp.1346-1358 ; https://www.aclweb.org/anthology/2020.coling-main.116/ (2020)
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Irony Detection in a Multilingual Context
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In: ECIR ; https://hal.archives-ouvertes.fr/hal-02889008 ; ECIR, Apr 2020, online, Portugal (2020)
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Pluralities, Collectives, and Composites
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In: Formal Ontology in Information Systems, Proceedings of the 11th International Conference (FOIS 2020) ; https://hal.archives-ouvertes.fr/hal-03082789 ; Boyan Brodaric; Fabian Neuhaus. Formal Ontology in Information Systems, Proceedings of the 11th International Conference (FOIS 2020), 330, IOS Press, pp.186-200, 2020, Frontiers in Artificial Intelligence and Applications, 0922-6389. ⟨10.3233/FAIA200671⟩ ; http://www.loa.istc.cnr.it/wp-content/uploads/2020/12/FAIA-330-FAIA200671.pdf (2020)
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Graph-Based Approaches to Structural Universals and Complex States of Affairs
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In: Frontiers in Artificial Intelligence and Applications, vol. 306 ; 10th International Conference on Formal Ontology in Information Systems (FOIS 2018) ; https://hal.archives-ouvertes.fr/hal-02089294 ; 10th International Conference on Formal Ontology in Information Systems (FOIS 2018), Sep 2018, Cape Town, South Africa. pp.69-82 (2018)
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Complex matching based on competency questions for alignment: a first sketch (short paper)
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In: International Workshop on Ontology Matching co-located with the 17th International Semantic Web Conference (OM@ISWC'18 2018), Monterey, 08/10/18 ; https://hal.archives-ouvertes.fr/hal-02102382 ; International Workshop on Ontology Matching co-located with the 17th International Semantic Web Conference (OM@ISWC'18 2018), Monterey, 08/10/18, Oct 2018, Monterey, United States. pp.(on line) (2018)
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Unsupervised relation extraction from scientific texts using self-organizing maps
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In: Actes du 1er Atelier sur l' Extraction et la Modélisation de Connaissances à partir de textes scientifiques, plateforme PFIA 2017 ; 1er Atelier sur l' Extraction et la Modélisation de Connaissances à partir de textes scientifiques, associé à PFIA 2017 (EMC-Sci 2017) ; https://hal.archives-ouvertes.fr/hal-01913664 ; 1er Atelier sur l' Extraction et la Modélisation de Connaissances à partir de textes scientifiques, associé à PFIA 2017 (EMC-Sci 2017), Jul 2017, Caen, France. pp.25-32 (2017)
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A Distant Learning Approach for Extracting Hypernym Relations from Wikipedia Disambiguation Pages
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In: Procedia Computer Science - Vol. 112 - 2017 ; 21st International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2017) ; https://hal.archives-ouvertes.fr/hal-01919073 ; 21st International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2017), Sep 2017, Marseille, France. pp.1764-1773 (2017)
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Extraction de relations : combiner les techniques pour s'adapter à la diversité du texte.
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In: 28es Journées francophones d'Ingénierie des Connaissances IC 2017 ; https://hal.archives-ouvertes.fr/hal-01570070 ; 28es Journées francophones d'Ingénierie des Connaissances IC 2017, AFIA, Jul 2017, Caen, France. pp.86-97 ; https://pfia2017.greyc.fr/ic/presentation (2017)
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Automatic Irony Detection in Users Generated Content ; Détection automatique de l'ironie dans les contenus générés par les utilisateurs
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In: https://hal.archives-ouvertes.fr/tel-01615868 ; Intelligence artificielle [cs.AI]. Université de Toulouse 3 Paul Sabatier; Faculté des Sciences Economiques et de Gestion, Université de Sfax (Tunisie), 2017. Français (2017)
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Exploring the Impact of Pragmatic Phenomena on Irony Detection in Tweets: A Multilingual Corpus Study
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In: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1 ; 15th Conference of the European Chapter of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01686475 ; 15th Conference of the European Chapter of the Association for Computational Linguistics, Apr 2017, Valencia, Spain. pp.262 - 272 (2017)
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SOUKHRIA: Towards an Irony Detection System for Arabic in Social Media
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In: 3rd International Conference on Arabic Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01686504 ; 3rd International Conference on Arabic Computational Linguistics, Nov 2017, Dubaï, United Arab Emirates. pp.161 - 168, ⟨10.1016/j.procs.2017.10.105⟩ (2017)
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Extraction de relations d'hyperonymie à partir de Wikipédia
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In: Actes de la conférence conjointe JEP-TALN-RECITAL 2016 : volume3 RECITAL ; 18èmes Rencontres des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues, partie de la conférence conjointe JEP-TALN-RECITAL 2016 ; https://hal.archives-ouvertes.fr/hal-01873749 ; 18èmes Rencontres des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues, partie de la conférence conjointe JEP-TALN-RECITAL 2016, Jul 2016, Paris, France. pp. 40-51 (2016)
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A Supervised Approach for Enriching the Relational Structure of Frame Semantics in FrameNet
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In: Proceedings of COLING 2016 ; 26th International Conference on Computational Linguistics (COLING 2016) ; https://hal.archives-ouvertes.fr/hal-01709130 ; 26th International Conference on Computational Linguistics (COLING 2016), Dec 2016, Osaka, Japan. pp. 3542-3552 (2016)
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The OntoEnrich platform: using workflows for quality assurance and axiomatic enrichment of ontologies
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In: Uk Ontology network meeting (UKON 2016) ; https://hal.archives-ouvertes.fr/hal-03155057 ; Uk Ontology network meeting (UKON 2016), Apr 2016, Newcastle, Royaume-Uni (2016)
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