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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 Hits 1 – 12 of 12 1 Mapping Biographical events to ODPs through Lexico-Semantic Patterns? Stranisci M.A.; Basile V.; Damiano R.. - : CEUR-WS, 2021. : country:SWE, 2021. : place:Jönköping, 2021 BASE Show details 2 Towards multidomain and multilingual abusive language detection: a survey Pamungkas E.W.; Basile V.; Patti V.. - 2021 BASE Show details 3 Hate speech and topic shift in the covid-19 public discourse on social media in Italy Florio K.; Basile V.; Patti V.. - : CEUR-WS, 2021. : country:DEU, 2021. : place:Aachen, 2021 BASE Show details 4 A commonsense reasoning framework for explanatory emotion attribution, generation and re-classification Lieto A.; Pozzato G.L.; Zoia S.. - 2021 BASE Show details 5 Time of your hate: The challenge of time in hate speech detection on social media Florio K.; Basile V.; Polignano M.. - 2020 BASE Show details 6 Personal-ITY: A novel youtube-based corpus for personality prediction in Italian Bassignana E.; Nissim M.; Patti V.. - : CEUR-WS, 2020. : country:DEU, 2020. : place:Aachen, 2020 BASE Show details 7 Computational models for irony detection in three Spanish variants Frenda S.; Patti V.. - : CEUR-WS, 2019. : country:ESP, 2019. : place:Bilbao, 2019 Abstract: The lack of understanding of figurative language online, such as ironic messages, is a common cause of error for systems that analyze automatically the users’ opinions online detecting sentiment, emotions or stance. In order to deal with this problem of automatic processing of natural language, IroSvA shared task at IberLef 2019 asks participants to detect, for the first time, irony in short texts written in Spanish language, considering the three linguistic variants from Spain, Mexico and Cuba. Another novelty of this task is the presence of labels specifying the context of the utterance, such as current political or social issues discussed online. In the context of this shared task, we approached irony detection in Spanish short texts trying to exploit the provided topic information. In addition, we investigated the usefulness of stylistic, lexical and affective features during the development of the irony detection models for the three Spanish variants. Experimental results and further analyses allow to shed some light on the analogies and differences in the expression of irony in the three variants, and suggest new research directions, in a perspective of comparison with other languages. Keyword: Affective features; Cuban Spanish; Irony detection; Linguistic analysis; Mexican Spanish; Spanish URL: http://hdl.handle.net/2318/1795396 BASE Hide details 8 Cross-domain and Cross-lingual abusive language detection: A hybrid approach with deep learning and a multilingual lexicon Patti V.; Pamungkas E.. - : Association for Computational Linguistics (ACL), 2019. : country:USA, 2019. : place:Stroudsburg, 2019 BASE Show details 9 Annotating hate speech: Three schemes at comparison Poletto F.; Basile V.; Bosco C.. - : CEUR-WS, 2019. : country:DEU, 2019. : place:Aachen, 2019 BASE Show details 10 An Impossible Dialogue! Nominal Utterances and Populist Rhetoric in an Italian Twitter Corpus of Hate Speech against Immigrants Comandini, G; Patti, V. - : Association for Computational Linguistics, 2019. : country:USA, 2019. : place:209 N EIGHTH STREET, STROUDSBURG, PA 18360 USA, 2019 BASE Show details 11 Computational linguistics against hate: Hate speech detection and visualization on social media in the "Contro L’Odio" project Capozzi A.T.E.; Lai M.; Basile V.. - : CEUR-WS, 2019. : country:DEU, 2019. : place:Aachen, 2019 BASE Show details 12 Overview of the evalita 2016 sentiment polarity classification task Croce, D; Novielli, N; Barbieri, F. - : CEUR-WS, 2016 BASE Show details

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