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Emotionally Informed Hate Speech Detection: A Multi-target Perspective
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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Emotionally Informed Hate Speech Detection: A Multi-target Perspective
In: Cognit Comput (2021)
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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
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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
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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
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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
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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
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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
Abstract: Misogyny is a multifaceted phenomenon and can be linguistically manifested in numerous ways. The evaluation campaigns of EVALITA and IberEval in 2018 proposed a shared task of Automatic Misogyny Identification (AMI) based on Italian, English and Spanish tweets. Since the participating teams' results were pretty low in the misogynistic behaviour categorization, the aim of this study is to investigate the possible causes. We measured the overlap and the homogeneity of the clusters by varying the number of categories. This experiment showed that the clusters overlap. Finally, we tested several machine learning models both using the original data sets and merging together some categories according to their overlap, obtaining an increase in terms of macro F1. ; La misoginia es un fenómeno con múltiples facetas y puede manifestarse lingüísticamente de muchas formas. Las campañas de evaluación de EVALITA e IberEval en 2018 propusieron una tarea compartida de Identificación Automática de Misoginia (AMI) basada en tweets en italiano, inglés y español. Dado que los resultados de los equipos participantes fueron bastante bajos en la categorización del comportamiento misógino, el objetivo de este estudio es investigar las posibles causas. Medimos el solape y la homogeneidad de los clústeres variando el número de categorías. Este experimento mostró que los grupos se solapan. Finalmente probamos varios modelos de aprendizaje automático utilizando los conjuntos de datos originales y fusionando algunas categorías de acuerdo con consideraciones basadas en medidas de similitud y las matrices de confusión de los modelos, obteniendo un aumento de la F1 macro. ; The work of S. Lazzardi was partially carried out at the Universitat Politècnica de València within the framework of the Erasmus+ program, Erasmus Traineeship 2018/19 funding. The work of P. Rosso was partially funded by the Spanish MICINN under the research project MISMIS-FAKEnHATE on Misinformation and Miscommunication in social media: FAKE news and HATE speech (PGC2018-096212-B-C31). The work of V. Patti was partially funded by the research projects “STudying European Racial Hoaxes and sterEOTYPES” (STERHEOTYPES, under the call “Challenges for Europe” of VolksWagen Stiftung and Compagnia di San Paolo) and “Be Positive!” (under the 2019 “Google.org Impact Challenge on Safety” call).
Keyword: Automatic misogyny identification; Hate speech online; Identificación automática de misoginia; Lenguajes y Sistemas Informáticos; Mensajes de odio online
URL: http://hdl.handle.net/10045/114226
https://doi.org/10.26342/2021-66-5
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Emotionally Informed Hate Speech Detection: A Multi-target Perspective
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Resources and benchmark corpora for hate speech detection: a systematic review [<Journal>]
Poletto, Fabio [Verfasser]; Basile, Valerio [Verfasser]; Sanguinetti, Manuela [Verfasser].
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11
Personal-ITY: A Novel YouTube-based Corpus for Personality Prediction in Italian ...
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Matching Theory and Data with Personal-ITY: What a Corpus of Italian YouTube Comments Reveals About Personality ...
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13
Modeling Annotator Perspective and Polarized Opinions to Improve Hate Speech Detection
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)
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14
Modeling Annotator Perspective and Polarized Opinions to Improve Hate Speech Detection
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)
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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
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EVALITA4ELG: Italian Benchmark Linguistic Resources, NLP Services and Tools for the ELG Platform
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Do Linguistic Features Help Deep Learning? The Case of Aggressiveness in Mexican Tweets
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“Contro L’Odio”: A Platform for Detecting, Monitoring and Visualizing Hate Speech against Immigrants in Italian Social Media
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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
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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
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