[Corpora-List] ResT-UP - 1st Workshop on Resources and Techniques for User and author Profiling in abusive language

Valerio Basile basile at di.unito.it
Tue Dec 10 12:23:52 CET 2019


LREC 2020 Workshop: ResT-UP - 1st Workshop on Resources and Techniques for User and author Profiling in abusive language.

Marseílle, Le Palais du Pharo, May 12, 2020

ResT-UP will be held conjunction with LREC2020 (https://lrec2020.lrec-conf.org/en/) on May 12, 2020, and aims 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 targets Profiling scholars and research groups, experts in statistics 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 represents an opportunity to share profiling experiments with the scientific community and to show automatic detection techniques of abusive language on the Web. We would be happy to receive also proposals that present projects and artificial intelligence platforms that fight online frauds, cyberbullying, cyberstalking and terrorism as well as proposals that investigate the personality of online abusive language protagonists and suspected presence of psychiatric disorders. Papers that present corpora and ad hoc set linguistic resources for profiling are welcomed, especially if aimed at profiling in detection of hate-speech, cyberbullying, cyberstalking, terrorism, online fraud, plagiarism, fake news, both on ongoing and on completed researches (with positive or negative results). We solicit also the submission of papers discussing ethical implications, risks and legal constraints (e.g. European GDPR) of user profiling.

Topics of interest

Linguistic Resources for - Abusive Language Analysis and Forensic Linguistics - Cognitive Profiling - Computational Stylometry for User and Author Profiling - Hate speech and abusive language detection - Profiling of trolls, bots, and users producing hate speech - Stylistic Features Extraction - Textual Statistics Computational Linguistic Analysis of Social Media Ethical and legal issues in Author Profiling Machine Learning Profiling Techniques Projects and Artificial Intelligence Profiling platforms


All papers must represent original and unpublished work that is not currently under review. Papers will be evaluated according to their significance, originality, technical content, style, clarity, and relevance to the workshop. We welcome the following types of contributions:

- standard research papers (up to 8 pages, plus more pages for references if needed) - short research papers (from 4 to 6 pages, plus more pages for references if needed)

Submissions must be anonymous and strictly follow the LREC2020 stylesheet formatting guidelines. All papers should be electronically submitted in PDF format via the main conference platform via START (track ResT-UP).

Describing your LRs in the LRE Map is now a normal practice in the submission procedure of LREC (introduced in 2010 and adopted by other conferences). To continue the efforts initiated at LREC 2014 about “Sharing LRs” (data, tools, web-services, etc.), authors will have the possibility, when submitting a paper, to upload LRs in a special LREC repository. This effort of sharing LRs, linked to the LRE Map for their description, may become a new “regular” feature for conferences in our field, thus contributing to creating a common repository where everyone can deposit and share data. As scientific work requires accurate citations of referenced work so as to allow the community to understand the whole context and also replicate the experiments conducted by other researchers, LREC 2020 endorses the need to uniquely Identify LRs through the use of the International Standard Language Resource Number (ISLRN, www.islrn.org), a Persistent Unique Identifier to be assigned to each Language Resource. The assignment of ISLRNs to LRs cited in LREC papers will be offered at submission time. Proceedings for workshop papers will be submitted for inclusion in the conference proceedings and published by the European Language Resources Association (ELRA).

Important dates

Submission deadline: February 15, 2020 Notification of acceptance: March 8, 2020 Camera-ready papers due: April 2, 2020 Workshop Date: May 12, 2020

If you have any questions regarding the workshop please refer to: restup.lrec at gmail.com


Johanna Monti - L’Orientale University of Naples - UNIOR NLP Research Group Valerio Basile - University of Turin Maria Pia Di Buono - L’Orientale University of Naples - UNIOR NLP Research Group Raffaele Manna - L’Orientale University of Naples - UNIOR NLP Research Group Antonio Pascucci - L’Orientale University of Naples - UNIOR NLP Research Group Sara Tonelli - Fondazione Bruno Kessler, Digital Humanities research group

Programme Committee

Cristina Bosco - University of Turin Tommaso Caselli - University of Groningen Walter Daelemans - CLiPS Research Center, University of Antwerp Rossana Damiano - University of Turin Maciej Eder - Pedagogical University of Kraków Francesca Frontini - Paul Valéry University, Montpellier III Dimitrios Kokkinakis - University of Gothenburg Cataldo Musto - SWAP Research Group, University of Bari Michael Oakes - RGCL in Computational Linguistics, University of Wolverhampton Alessio Palmero Aprosio - Fondazione Bruno Kessler, Digital Humanities research group Viviana Patti - University of Turin Marco Polignano - SWAP Research Group, University of Bari Paolo Rosso - Technical University of Valencia Manuela Sanguinetti - University of Turin Efstathios Stamatatos - University of Aegean Natalia Viani - King's College London Marcos Zampieri - Rochester Institute of Technology

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