This volume documents the Proceedings of the 1st Workshop on Resources and Techniques for User and Author Profiling in Abusive Language (ResT-UP), held online on 12 May 2020 as part of the LREC 2020 conference (International Conference on Language Resources and Evaluation). The workshop aimed at bringing together researchers and scholars working on author profiling and automatic detection of abusive language on the Web, e.g., cyberbullying or hate speech, with a twofold objective: improving the existing LRs, e.g., datasets, corpora, lexicons, and sharing ideas on stylometry techniques and features needed for profile information extraction and classification. ResT-UP targeted Profiling scholars and research groups, experts in Statistic and Stylistic Analysis of texts as well as computational linguists who investigate author profile and personality both in short texts (social media posts, blog texts and email) and in long texts (such as pamphlets, (fake) news and political documents). ReST-UP represented an opportunity to share profiling experiments with the scientific community and to show automatic detection techniques of abusive language on the Web. Despite the cancellation of LREC 2020 due to the COVID-19 international emergency, ResT-UP was organized online on Microsoft Teams on May 12th 2020 and the programme included three oral presentations and featured an invited talk by Paolo Rosso. ResT-UP was attended by about fifty representatives of academic and industrial organisations.

Proceedings of the LREC 2020 workshop on Resources and Techniques for User and Author Profiling in Abusive Language (ResT-UP 2020)

Johanna Monti;Maria Pia Di Buono;Raffaele Manna;Antonio Pascucci;
2020-01-01

Abstract

This volume documents the Proceedings of the 1st Workshop on Resources and Techniques for User and Author Profiling in Abusive Language (ResT-UP), held online on 12 May 2020 as part of the LREC 2020 conference (International Conference on Language Resources and Evaluation). The workshop aimed at bringing together researchers and scholars working on author profiling and automatic detection of abusive language on the Web, e.g., cyberbullying or hate speech, with a twofold objective: improving the existing LRs, e.g., datasets, corpora, lexicons, and sharing ideas on stylometry techniques and features needed for profile information extraction and classification. ResT-UP targeted Profiling scholars and research groups, experts in Statistic and Stylistic Analysis of texts as well as computational linguists who investigate author profile and personality both in short texts (social media posts, blog texts and email) and in long texts (such as pamphlets, (fake) news and political documents). ReST-UP represented an opportunity to share profiling experiments with the scientific community and to show automatic detection techniques of abusive language on the Web. Despite the cancellation of LREC 2020 due to the COVID-19 international emergency, ResT-UP was organized online on Microsoft Teams on May 12th 2020 and the programme included three oral presentations and featured an invited talk by Paolo Rosso. ResT-UP was attended by about fifty representatives of academic and industrial organisations.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11574/192548
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