LINGUIST List 31.1896

Tue Jun 09 2020

FYI: 2nd Call for Participation: HaSpeeDe 2 - Hate Speech Detection shared task at EVALITA 2020

Editor for this issue: Everett Green <everettlinguistlist.org>



Date: 08-Jun-2020
From: Simona Frenda <frendadi.unito.it>
Subject: 2nd Call for Participation: HaSpeeDe 2 - Hate Speech Detection shared task at EVALITA 2020
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HaSpeeDe 2
Hate Speech Detection shared task at EVALITA 2020

Info: http://di.unito.it/haspeede20

EVALITA 2020, the 7th evaluation campaign of Natural Language Processing and Speech tools for Italian, 2-3 December 2020, Bologna, Italy
Co-located with the 7th Italian Conference on Computational Linguistics (CLiC-it 2020).

Registration is required to participate in the shared task: http://www.evalita.it/2020/taskregistration
Subscribe to the google group: https://groups.google.com/d/forum/haspeede-evalita2020
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2nd Call for Participation

Online hateful content, or Hate Speech (HS), is characterized by some key aspects (such as virality, or presumed anonymity) which distinguish it from offline communication and make it potentially more dangerous and hurtful. Therefore, its identification has become a crucial mission in many fields.

From an NLP perspective, much attention has been paid to the topic of HS – together with all its possible facets and related phenomena, such as offensive/abusive language, and so on – and its identification. This is shown by the proliferation, especially in the last few years, of contributions on this matter, corpora and lexica, dedicated workshops, and shared tasks within national (GermEval, HASOC, IberLEF) and international (SemEval) evaluation campaigns.

The last edition of EVALITA hosted the first HS detection in Social Media task for Italian. The high participation and the promising results encouraged us to propose a second run at EVALITA 2020. The new HaSpeeDe evaluation campaign includes 3 sub-tasks:

Task A -- Hate Speech Detection (Main Task): binary classification task aimed at determining the presence or the absence of hateful content in the text towards a given target (among Immigrants, Muslims or Roma people).
Task B -- Stereotype Detection (Pilot Task 1): binary classification task aimed at determining the presence or the absence of a stereotype towards a given target (among Immigrants, Muslims or Roma people).
Task C -- Identification of Nominal Utterances (Pilot Task 2): sequence labeling task aimed at recognizing Nominal Utterances in hateful tweets.
Nominal utterances (NUs) are intended as independent syntactic constructions built around a non-verbal head and they play an important role in the expression of hateful messages conveying also populist slogans or sharp adherence to a particular political or social point of view. Task C aims to encourage the analysis and the identification of NUs in Hate Speech detection.

The ultimate goal of this edition of HaSpeeDe is thus to take a step further in the state of the art of HS detection for Italian also exploring other side phenomena, the extent to which they can be distinguished from HS, and finally whether and how much automatic systems are able to draw such distinction.

Important Dates:

29 May 2020: training data available to participants
4 September 2020: registration closes
4-11 Sept. 2020: evaluation window and collection of participants' results
6 November 2020: technical reports due to organizers - TENTATIVE
2-3 December 2020: final workshop

Organizers:

Cristina Bosco, Simona Frenda, Viviana Patti, Dip. di Informatica, University of Turin, Italy
Tommaso Caselli, Center for Language and Cognition, University of Groningen, The Netherlands
Gloria Comandini, Dip. di Lettere e Filosofia, University of Trento, Italy
Elisa Di Nuovo, Dip. Lingue e Letterature Straniere e Culture Moderne, University of Turin, Italy
Irene Russo, ILC “A. Zampolli” - CNR, Pisa, Italy
Manuela Sanguinetti, Dip. di Matematica e Informatica, University of Cagliari, Italy
Marco Stranisci, Acmos, Italy

If you have any enquiries/comments, contact us via: haspeede-evalita2020gouglegroups.com

Linguistic Field(s): Computational Linguistics

Subject Language(s): Italian (ita)
Language Family(ies): Romance


Page Updated: 09-Jun-2020