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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 Hits 1 – 20 of 59 1 Emotionally Informed Hate Speech Detection: A Multi-target Perspective Chiril, Patricia; Pamungkas, Endang Wahyu; Benamara, Farah... In: ISSN: 1866-9956 ; EISSN: 1866-9964 ; Cognitive Computation ; https://hal.archives-ouvertes.fr/hal-03275549 ; Cognitive Computation, Springer, 2021, 13 (4), &#x27E8;10.1007/s12559-021-09862-5&#x27E9; ; https://link.springer.com/article/10.1007%2Fs12559-021-09862-5 (2021) BASE Show details 2 Emotionally Informed Hate Speech Detection: A Multi-target Perspective Chiril, Patricia; Pamungkas, Endang Wahyu; Benamara, Farah; Moriceau, Véronique; Patti, Viviana In: Cognit Comput (2021) 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. Keyword: Article URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236572/ https://doi.org/10.1007/s12559-021-09862-5 BASE Hide details 3 Sentiment Analysis of Latin Poetry: First Experiments on the Odes of Horace Sprugnoli, Rachele (orcid:0000-0001-6861-5595); Mambrini, Francesco (orcid:0000-0003-0834-7562); Passarotti, Marco (orcid:0000-0002-9806-7187). - : CEUR Workshop Proceedings (CEUR-WS.org), 2021. : country:ITA, 2021. : place:MILANO -- ITA, 2021 BASE Show details 4 Linking the Lewis & Short Dictionary to the LiLa Knowledge Base of Interoperable Linguistic Resources for Latin Mambrini, Francesco (orcid:0000-0003-0834-7562); Litta, Eleonora (orcid:0000-0002-0499-997X); Passarotti, Marco (orcid:0000-0002-9806-7187). - : CEUR Workshop Proceedings (CEUR-WS.org), 2021. : country:ITA, 2021. : place:MILANO -- ITA, 2021 BASE Show details 5 Preface Fersini, Elisabetta; Patti, Viviana; Passarotti, Marco (orcid:0000-0002-9806-7187). - : CEUR Workshop Proceedings (CEUR-WS.org), 2021. : country:ITA, 2021. : place:MILANO -- ITA, 2021 BASE Show details 6 Proceedings of the Eighth Italian Conference on Computational Linguistics (CLiC-it 2021). Milan, Italy, January 26-28, 2022 Patti, Viviana; Passarotti, Marco (orcid:0000-0002-9806-7187); Fersini, Elisabetta. - : CEUR Workshop Proceedings (CEUR-WS.org), 2021. : country:ITA, 2021. : place:MILANO -- ITA, 2021 BASE Show details 7 The Annotation of Liber Abbaci, a Domain-Specific Latin Resource Cecchini, Flavio Massimiliano; Francesco, Grotto; Maria, Simi. - : CEUR Workshop Proceedings (CEUR-WS.org), 2021. : country:ITA, 2021. : place:MILANO -- ITA, 2021 BASE Show details 8 Categorizing Misogynistic Behaviours in Italian, English and Spanish Tweets ; Categorización de comportamientos misóginos en tweets en italiano, inglés y español Lazzardi, Silvia; Patti, Viviana; Rosso, Paolo. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2021 BASE Show details 9 Emotionally Informed Hate Speech Detection: A Multi-target Perspective Chiril, Patricia; Pamungkas, Endang Wahyu; Benamara, Farah. - 2021 BASE Show details 10 Resources and benchmark corpora for hate speech detection: a systematic review [<Journal>] Poletto, Fabio [Verfasser]; Basile, Valerio [Verfasser]; Sanguinetti, Manuela [Verfasser]. DNB Subject Category Language Show details 11 Personal-ITY: A Novel YouTube-based Corpus for Personality Prediction in Italian ... Bassignana, Elisa; Nissim, Malvina; Patti, Viviana. - : arXiv, 2020 BASE Show details 12 Matching Theory and Data with Personal-ITY: What a Corpus of Italian YouTube Comments Reveals About Personality ... The 28th International Conference on Computational Linguistics 2020; Bassignana, Elisa; Nissim, Malvina. - : Underline Science Inc., 2020 BASE Show details 13 Modeling Annotator Perspective and Polarized Opinions to Improve Hate Speech Detection Akhtar, Sohail; Basile, Valerio; Patti, Viviana In: Proceedings of the AAAI Conference on Human Computation and Crowdsourcing; Vol 8 No 1 (2020): Proceedings of the Eighth AAAI Conference on Human Computation and Crowdsourcing; 151-154 (2020) BASE Show details 14 Modeling Annotator Perspective and Polarized Opinions to Improve Hate Speech Detection Akhtar, Sohail; Basile, Valerio; Patti, Viviana In: Proceedings of the AAAI Conference on Human Computation and Crowdsourcing; Vol. 8 No. 1 (2020): Proceedings of the Eighth AAAI Conference on Human Computation and Crowdsourcing; 151-154 (2020) BASE Show details 15 HurtBERT: Incorporating Lexical Features with BERT for the Detection of Abusive Language Koufakou, Anna; Pamungkas, Endang Wahyu; Basile, Valerio. - : Association for Computational Linguistics, 2020. : country:USA, 2020. : place:209 N EIGHTH STREET, STROUDSBURG, PA 18360 USA, 2020 BASE Show details 16 EVALITA4ELG: Italian Benchmark Linguistic Resources, NLP Services and Tools for the ELG Platform Patti, Viviana; Basile, Valerio; Bosco, Cristina. - 2020 BASE Show details 17 Do Linguistic Features Help Deep Learning? The Case of Aggressiveness in Mexican Tweets Frenda, Simona; Banerjee, Somnath; Rosso, Paolo. - 2020 BASE Show details 18 “Contro L’Odio”: A Platform for Detecting, Monitoring and Visualizing Hate Speech against Immigrants in Italian Social Media Capozzi, Arthur; Lai, Mirko; Basile, Valerio. - 2020 BASE Show details 19 Do Linguistic Features Help Deep Learning? The Case of Aggressiveness in Mexican Tweets Frenda, Simona; Banerjee, Somnath; Rosso, Paolo. - : Instituto Politecnico Nacional/Centro de Investigacion en Computacion, 2020 BASE Show details 20 #Brexit: Leave or Remain? The Role of User's Community and Diachronic Evolution on Stance Detection Lai, Mirko; Patti, Viviana; Ruffo, Giancarlo. - : IOS Press, 2020 BASE Show details Page: 1 2 3

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