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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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Question-Based Explainability in Abstract Argumentation
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In: https://hal-univ-tlse3.archives-ouvertes.fr/hal-03647896 ; [Research Report] IRIT/RR--2022--01--FR, IRIT : Institut de Recherche en Informatique de Toulouse, France. 2022, pp.1-64 (2022)
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End-to-end speaker segmentation for overlap-aware resegmentation
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In: Interspeech 2021 ; https://hal-univ-lemans.archives-ouvertes.fr/hal-03257524 ; Interspeech 2021, Aug 2021, Brno, Czech Republic ; https://www.interspeech2021.org/ (2021)
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An Extension to Scenarios to Deal with Business Cases for the Decision-Making Processes in the Agribusiness Domain
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In: Agriculture Value Chain - Challenges and Trends in Academia and Industry ; https://hal.archives-ouvertes.fr/hal-03176948 ; Agriculture Value Chain - Challenges and Trends in Academia and Industry, 280, Springer, pp.35-50, 2021, Studies in Systems, Decision and Control book series (SSDC), 978-3-030-51046-6. ⟨10.1007/978-3-030-51047-3_3⟩ ; https://link.springer.com/chapter/10.1007%2F978-3-030-51047-3_3 (2021)
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A Knowledge Compilation Map for Conditional Preference Statements-based Languages
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In: Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems ; 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021) ; https://hal.archives-ouvertes.fr/hal-03160469 ; 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021), International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), May 2021, Londres (virtual), United Kingdom ; https://aamas2021.soton.ac.uk/ (2021)
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A Knowledge Compilation Map for Conditional Preference Statements-based Languages
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In: https://hal.archives-ouvertes.fr/hal-03133187 ; [Research Report] IRIT/RR--2021--02--FR, Institut de Recherche en Informatique de Toulouse (CNRS : UMR5505; INPT de Toulouse; Universités de Toulouse I, II et III). 2021 (2021)
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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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Morphologically Annotated Amharic Text Corpora
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In: SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval ; https://hal-univ-tlse2.archives-ouvertes.fr/hal-03362977 ; SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Jul 2021, Virtual Event Canada, France. pp.2349-2355, ⟨10.1145/3404835.3463237⟩ (2021)
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Atténuer les erreurs de numérisation dans la reconnaissance d'entités nommées pour les documents historiques
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In: Conférence en Recherche d'Informations et Applications (CORIA 2021) ; https://hal.archives-ouvertes.fr/hal-03320332 ; Conférence en Recherche d'Informations et Applications (CORIA 2021), ARIA : Association Francophone de Recherche d’Information (RI) et Applications, Apr 2021, Grenoble (virtuel), France. pp.1 - 7 ; http://coria.asso-aria.org/2021/articles/mini_24/main.pdf (2021)
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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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Automatic Speech Recognition : from hybrid to end-to-end approach ; Reconnaissance automatique de la parole à large vocabulaire : des approches hybrides aux approches End-to-End
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In: https://tel.archives-ouvertes.fr/tel-03616588 ; Intelligence artificielle [cs.AI]. Université Paul Sabatier - Toulouse III, 2021. Français. ⟨NNT : 2021TOU30116⟩ (2021)
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A Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers
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In: SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval ; https://hal.archives-ouvertes.fr/hal-03418387 ; SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Jul 2021, Virtual Event, Canada. pp.2328-2334, ⟨10.1145/3404835.3463255⟩ (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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Simulating reading mistakes for child speech Transformer-based phone recognition
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In: Annual Conference of the International Speech Communication Association (INTERSPEECH) ; https://hal.archives-ouvertes.fr/hal-03257870 ; Annual Conference of the International Speech Communication Association (INTERSPEECH), Aug 2021, Brno, Czech Republic (2021)
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La laryngophoniatrie du futur
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In: Congrès National de la Société Française d'ORL ; https://hal.archives-ouvertes.fr/hal-03365266 ; Congrès National de la Société Française d'ORL, 2021, Paris, France (2021)
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La laryngophoniatrie du futur
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In: Congrès National de la Société Française d'ORL ; https://hal.archives-ouvertes.fr/hal-03365266 ; Congrès National de la Société Française d'ORL, 2021, Paris, France (2021)
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End-to-end acoustic modelling for phone recognition of young readers
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In: ISSN: 0167-6393 ; EISSN: 1872-7182 ; Speech Communication ; https://hal.archives-ouvertes.fr/hal-03373156 ; Speech Communication, Elsevier : North-Holland, 2021, 134, pp.71-84. ⟨10.1016/j.specom.2021.08.003⟩ ; https://www.sciencedirect.com/science/article/pii/S0167639321000959?via%3Dihub (2021)
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Application-Oriented Approach for Detecting Cyberaggression in Social Media
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In: International Conference on Applied Human Factors and Ergonomics ; https://hal.archives-ouvertes.fr/hal-02903422 ; International Conference on Applied Human Factors and Ergonomics, Jul 2020, San Diego, United States. pp.129-136, ⟨10.1007/978-3-030-51328-3_19⟩ ; https://link.springer.com/chapter/10.1007%2F978-3-030-51328-3_19 (2020)
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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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Experimental Evaluation of Three Value Recommendation Methods in Interactive Configuration
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In: ISSN: 0948-695X ; EISSN: 0948-6968 ; Journal of Universal Computer Science ; https://hal.archives-ouvertes.fr/hal-02940706 ; Journal of Universal Computer Science, Graz University of Technology, Institut für Informationssysteme und Computer Medien, 2020, 26 (3), pp.318-342 (2020)
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