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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.; Basile P.; Patti V.. - 2020 Abstract: The availability of large annotated corpora from social media and the development of powerful classification approaches have contributed in an unprecedented way to tackle the challenge of monitoring users' opinions and sentiments in online social platforms across time. Such linguistic data are strongly affected by events and topic discourse, and this aspect is crucial when detecting phenomena such as hate speech, especially from a diachronic perspective. We address this challenge by focusing on a real case study: the "Contro l'odio" platform for monitoring hate speech against immigrants in the Italian Twittersphere. We explored the temporal robustness of a BERT model for Italian (AlBERTo), the current benchmark on non-diachronic detection settings. We tested different training strategies to evaluate how the classification performance is affected by adding more data temporally distant from the test set and hence potentially different in terms of topic and language use. Our analysis points out the limits that a supervised classification model encounters on data that are heavily influenced by events. Our results show how AlBERTo is highly sensitive to the temporal distance of the fine-tuning set. However, with an adequate time window, the performance increases, while requiring less annotated data than a traditional classifier. Keyword: Diachronic analysis; Hate speech monitoring; microblogging data; Supervised machine learning URL: http://hdl.handle.net/2318/1745291 https://doi.org/10.3390/APP10124180 https://www.mdpi.com/2076-3417/10/12/4180 BASE Hide 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 BASE Show 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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