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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 Hits 1 – 20 of 27 1 Fake opinion detection: how similar are crowdsourced datasets to real data? [<Journal>] Fornaciari, Tommaso [Verfasser]; Cagnina, Leticia [Verfasser]; Rosso, Paolo [Verfasser]. DNB Subject Category Language Show details 2 Multilingual Irony Detection with Dependency Syntax and Neural Models Signarella, Alessandra Teresa; Basile, Valerio; Sanguinetti, Manuela... 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) BASE Show details 3 Irony Detection in a Multilingual Context Ghanem, Bilal; Karoui, Jihen; Benamara, Farah... In: ECIR ; https://hal.archives-ouvertes.fr/hal-02889008 ; ECIR, Apr 2020, online, Portugal (2020) BASE Show details 4 Irony Detection in a Multilingual Context ... Ghanem, Bilal; Karoui, Jihen; Benamara, Farah. - : arXiv, 2020 BASE Show details 5 LIMSI_UPV at SemEval-2020 Task 9: Recurrent Convolutional Neural Network for Code-mixed Sentiment Analysis ... Banerjee, Somnath; Ghannay, Sahar; Rosset, Sophie. - : arXiv, 2020 BASE Show details 6 Classifier Combination Approach for Question Classification for Bengali Question Answering System ... Banerjee, Somnath; Naskar, Sudip Kumar; Rosso, Paolo. - : arXiv, 2020 BASE Show details 7 Multilingual Irony Detection with Dependency Syntax and Neural Models ... Cignarella, Alessandra Teresa; Basile, Valerio; Sanguinetti, Manuela. - : arXiv, 2020 BASE Show details 8 Multilingual Irony Detection with Dependency Syntax and Neural Models ... The 28th International Conference on Computational Linguistics 2020; Basile, Valerio; Benamara, Farah. - : Underline Science Inc., 2020 BASE Show details 9 Irony Detection in a Multilingual Context Ghanem, Bilal; Karoui, Jihen; Benamara, Farah. - 2020 BASE Show details 10 The Role of Personality and Linguistic Patterns in Discriminating Between Fake News Spreaders and Fact Checkers Giachanou, Anastasia; Ríssola, Esteban A.; Ghanem, Bilal... In: Natural Language Processing and Information Systems (2020) BASE Show details 11 Do Linguistic Features Help Deep Learning? The Case of Aggressiveness in Mexican Tweets Frenda, Simona; Banerjee, Somnath; Rosso, Paolo. - 2020 BASE Show details 12 Deep Fusion of Multiple Term-Similarity Measures For Biomedical Passage Retrieval Montes Gomez, Manuel; Rosso, Paolo; Rosso-Mateus, Andrés. - : IOS Press, 2020 BASE Show details 13 A Twitter Political Corpus of the 2019 10N Spanish Election Rosso, Paolo; Ponzetto, Simone Paolo; Sánchez-Junquera, Javier. - : Springer, 2020 BASE Show details 14 Do Linguistic Features Help Deep Learning? The Case of Aggressiveness in Mexican Tweets Frenda, Simona; Banerjee, Somnath; Rosso, Paolo; Patti, Viviana. - : Instituto Politecnico Nacional/Centro de Investigacion en Computacion, 2020 Abstract: [EN] In the last years, the control of online user generated content is becoming a priority, because of the increase of online aggressiveness and hate speech legal cases. Considering the complexity and the importance of this issue, this paper presents an approach that combines the deep learning framework with linguistic features for the recognition of aggressiveness in Mexican tweets. This approach has been evaluated relying on a collection of tweets released by the organizers of the shared task about aggressiveness detection in the context of the Ibereval 2018 evaluation campaign. The use of a benchmark corpus allows to compare the results with those obtained by Ibereval 2018 participant systems. However, looking at the achieved results, linguistic features seem not to help the deep learning classification for this task. ; The work of Simona Frenda and Paolo Rosso was partially funded by the Spanish MINECO under the research project SomEMBED (TIN2015-71147-C2-1-P). ; Frenda, S.; Banerjee, S.; Rosso, P.; Patti, V. (2020). Do Linguistic Features Help Deep Learning? The Case of Aggressiveness in Mexican Tweets. Computación y Sistemas. 24(2):633-643. https://doi.org/10.13053/CyS-24-2-3398 ; S ; 633 ; 643 ; 24 ; 2 Keyword: Aggressiveness automatic detection; Deep learning; LENGUAJES Y SISTEMAS INFORMATICOS; Linguistic analysis; Mexican Spanish language; Twitter URL: https://doi.org/10.13053/CyS-24-2-3398 http://hdl.handle.net/10251/166375 BASE Hide details 15 Multimodal Fake News Detection with Textual, Visual and Semantic Information Giachanou, Anastasia; Zhang, Guobiao; Rosso, Paolo. - : Springer, 2020 BASE Show details 16 An Emotional Analysis of False Information in Social Media and News Articles Rangel, Francisco; Rosso, Paolo; Ghanem, Bilal Hisham Hasan. - : Association for Computing Machinery, 2020 BASE Show details 17 Irony Detection in Twitter with Imbalanced Class Distributions Herrera, Francisco; Rosso, Paolo; Hernandez-Farias, Delia Irazu. - : IOS Press, 2020 BASE Show details 18 #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 19 MSIR@FIRE: A Comprehensive Report from 2013 to 2016 Banerjee, Somnath; Choudhury, Monojit; Das, Amitava. - : Springer, 2020 BASE Show details 20 Fine-Grained Analysis of Language Varieties and Demographics Rangel, Francisco; Rosso, Paolo; Zaghouani, Wajdi. - : Cambridge University Press, 2020 BASE Show details Page: 1 2

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