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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...289 Hits 1 – 20 of 5.767 1 Cross-lingual few-shot hate speech and offensive language detection using meta learning Mozafari, Marzieh; Farahbakhsh, Reza; Crespi, Noel In: ISSN: 2169-3536 ; EISSN: 2169-3536 ; IEEE Access ; https://hal.archives-ouvertes.fr/hal-03559484 ; IEEE Access, IEEE, 2022, 10, pp.14880-14896. ⟨10.1109/ACCESS.2022.3147588⟩ (2022) Abstract: International audience ; Automatic detection of abusive online content such as hate speech, offensive language, threats, etc. has become prevalent in social media, with multiple efforts dedicated to detecting this phenomenon in English. However, detecting hatred and abuse in low-resource languages is a non-trivial challenge. The lack of sufficient labeled data in low-resource languages and inconsistent generalization ability of transformer-based multilingual pre-trained language models for typologically diverse languages make these models inefficient in some cases. We propose a meta learning-based approach to study the problem of few-shot hate speech and offensive language detection in low-resource languages that will allow hateful or offensive content to be predicted by only observing a few labeled data items in a specific target language. We investigate the feasibility of applying a meta learning approach in cross-lingual few-shot hate speech detection by leveraging two meta learning models based on optimization-based and metric-based (MAML and Proto-MAML) methods. To the best of our knowledge, this is the first effort of this kind. To evaluate the performance of our approach, we consider hate speech and offensive language detection as two separate tasks and make two diverse collections of different publicly available datasets comprising 15 datasets across 8 languages for hate speech and 6 datasets across 6 languages for offensive language. Our experiments show that meta learning-based models outperform transfer learning-based models in a majority of cases, and that Proto-MAML is the best performing model, as it can quickly generalize and adapt to new languages with only a few labeled data points (generally, 16 samples per class yields an effective performance) to identify hateful or offensive content. Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]; [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]; Cross-lingual classification; Few-shot learning; Hate speech; Meta learning; Offensive language; Transfer learning; XLMRoBERTa URL: https://doi.org/10.1109/ACCESS.2022.3147588 https://hal.archives-ouvertes.fr/hal-03559484 BASE Hide details 2 FAIRsharing record for: General Ontology for Linguistic Description ... : GOLD ... FAIRsharing Team. - : FAIRsharing, 2022 BASE Show details 3 Unsupervised quantification of entity consistency between photos and text in real-world news ... Müller-Budack, Eric. - : Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2022 BASE Show details 4 Danish Fungi 2020 Picek, Lukáš; Šulc, Milan; Matas, Jiří. - : IEEE/CVF, 2022 BASE Show details 5 EMBEDDIA tools output example corpus of Estonian, Croatian and Latvian news articles 1.0 Freienthal, Linda; Pelicon, Andraž; Martinc, Matej. - : Ekspress Meedia Group, 2022. : Styria Media Group, 2022 BASE Show details 6 О ЛЕКСИКО-ГРАММАТИЧЕСКИХ РАЗРЯДАХ ИМЕН СУЩЕСТВИТЕЛЬНЫХ В ТАБАСАРАНСКОМ ЯЗЫКЕ ... : ABOUT LEXICAL AND GRAMMATICAL CATEGORIES OF NOUNS IN THE TABASARAN LANGUAGE ... Н.Э. Сафаралиев. - : Мир науки, культуры, образования, 2022 BASE Show details 7 Multi language Email Classification Using Transfer learning Sousa, Mário Jorge Carvalho de. - 2022 BASE Show details 8 Mining an English-Chinese parallel Dataset of Financial News Turenne, Nicolas; Chen, Ziwei; Fan, Guitao... In: Journal of Open Humanities Data; Vol 8 (2022); 9 ; 2059-481X (2022) BASE Show details 9 Discriminating Bacterial Infection from Other Causes of Fever Using Body Temperature Entropy Analysis Borja Vargas; David Cuesta-Frau; Paula González-López; María-José Fernández-Cotarelo; Óscar Vázquez-Gómez; Ana Colás; Manuel Varela In: Entropy; Volume 24; Issue 4; Pages: 510 (2022) BASE Show details 10 Fokusgruppenkorpus "Personenreferenz im Dialekt" Schweden, T. (Theresa); Dammel, A. (Antje). - 2022 BASE Show details 11 The Multilingual Pragmatics of New Englishes: An Analysis of Question Tags in Nigerian English Westphal, M. (Michael). - 2022 BASE Show details 12 The phonetics and phonology of Hong Kong English: a study of fricatives Ho, S.Y.B. (Sin). - 2022 BASE Show details 13 Code: Drift in a Popular Metal Oxide Sensor Dataset Reveals Limitations for Gas Classification Benchmarks ... , Dennler. - : Zenodo, 2022 BASE Show details 14 Code: Drift in a Popular Metal Oxide Sensor Dataset Reveals Limitations for Gas Classification Benchmarks ... , Dennler. - : Zenodo, 2022 BASE Show details 15 Addressing multilingualism in the GoTriple discovery platform ... Dumouchel, Suzanne. - : Zenodo, 2022 BASE Show details 16 Addressing multilingualism in the GoTriple discovery platform ... Dumouchel, Suzanne. - : Zenodo, 2022 BASE Show details 17 The Terms of “You(s)”: How the Term of Address Used by Conversational Agents Influences User Evaluations in French and German Linguaculture ... Ollier, Joseph; Nißen, Marcia Katharina; von Wangenheim, Florian. - : ETH Zurich, 2022 BASE Show details 18 'Muscles of mussels' and 'hooks of bananas' - the (incipient) numeral classifier system of Ugare (Tivoid, Cameroon/Nigeria) ... Angitso, Michael. - : Open Science Framework, 2022 BASE Show details 19 Towards reconstructing a Proto-Tivoid numeral classifier system ... Angitso, Michael. - : Open Science Framework, 2022 BASE Show details 20 Measuring Semantic Similarity of Documents by Using Named Entity Recognition Methods Muñoz Morales, David Efraín. - : Technological University Dublin, 2022 In: Masters (2022) BASE Show details Page: 1 2 3 4 5...289

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