LLOD schema for Simplified Offensive Language Taxonomy in multilingual detection and applications

Author:

Lewandowska-Tomaszczyk Barbara1ORCID,Bączkowska Anna2ORCID,Dontcheva-Navrátilová Olga3ORCID,Liebeskind Chaya4ORCID,Valūnaitė Oleškevičienė Giedrė5ORCID,Žitnik Slavko6ORCID,Trojszczak Marcin1ORCID,Povolná Renata3ORCID,Selmistraitis Linas7ORCID,Utka Andrius8ORCID,Gudelis Dangis5ORCID

Affiliation:

1. Department of Language and Communication University of Applied Sciences in Konin 1, Przyjazni str . Konin , Poland

2. Institute of English and American Studies, University of Gdansk Wita Stwosza 51 Gdańsk , Poland

3. Department of English Language and Literature, Faculty of Education Masaryk University Poříčí 9 , Brno Czech Republic

4. Jerusalem College of Technology, Department of Computer Science 21 Havaad Haleumi St ., Jerusalem , Israel

5. Faculty of Public Governance and Business, Mykolas Romeris University 20 Ateities St ., Vilnius , Lithuania

6. Faculty for Computer and Information Science, University of Ljubljana Večna Ljubljana , Slovenia

7. Faculty of Human and Social Studies Mykolas Romeris University 20 Ateities St . Vilnius , Lithuania

8. Institute of Digital Resources and Interdisciplinary Research Vytautas Magnus University 23-216 V. Putvinskio St . Kaunas , Lithuania

Abstract

Abstract The goal of the paper is to present a Simplified Offensive Language (SOL) Taxonomy, its application and testing in the Second Annotation Campaign conducted between March-May 2023 on four languages: English, Czech, Lithuanian, and Polish to be verified and located in LLOD. Making reference to the previous Offensive Language taxonomic models proposed mostly by the same COST Action Nexus Linguarum WG 4.1.1 team, the number and variety of the categories underwent the definitional revision, and the present typology was tested in the annotation on the publicly available offensive language datasets of each of the four languages. The results of the annotation are presented and as they are contained within the accepted statistical values on the inter-annotator agreement in the SOL categories and their aspects, we propose this taxonomy as a core ontology which represents the encoding of the supported offensive languages and justify its use on new data in terms of a more universal Linguistic Linked Open Data (LLOD) schema.

Publisher

Walter de Gruyter GmbH

Subject

Linguistics and Language,Communication,Language and Linguistics

Reference34 articles.

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4. Bączkowska, Anna. 2022. Explicit and implicit offensiveness in dialogical film discourse in Brigit Jones films. International Review of Pragmatics 14(2). 198–225.

5. Bączkowska, Anna, Barbara Lewandowska-Tomaszczyk, Slavko Žitnik, Chaya Liebeskind, Giedre Valunaite Oleskeviciene & Marcin Trojszczak. 2022. Implicit offensive language taxonomy and its application to automatic extraction and ontology. Presentation at LLOD Approaches to language data research and management, Vilnius, 21–22 September 2022, Lithuania.

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