Annotation scheme and evaluation: the case of OFFENSIVE language
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14410%2F23%3A00132528" target="_blank" >RIV/00216224:14410/23:00132528 - isvavai.cz</a>
Result on the web
<a href="https://hrcak.srce.hr/clanak/444602" target="_blank" >https://hrcak.srce.hr/clanak/444602</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.31724/rihjj.49.1.8" target="_blank" >10.31724/rihjj.49.1.8</a>
Alternative languages
Result language
angličtina
Original language name
Annotation scheme and evaluation: the case of OFFENSIVE language
Original language description
The present paper focuses on the presentation and discussion of aspects of OFFENSIVE LANGUAGE linguistic annotation, including creation, annotation practice, curation, and evaluation of an OFFENSIVE LANGUAGE annotation taxonomy scheme, first proposed in Lewandowska-Tomaszczyk et al. (2021). An extended offensive language ontology comprising 17 categories, structured in terms of 4 hierarchical levels, has been shown to represent the encoding of the defined offensive language schema, trained in terms of non-contextual word embeddings – i.e., Word2Vec and Fast Text, and eventually juxtaposed to the data acquired by using a pairwise training and testing analysis for existing categories in the HateBERT model (Lewandowska-Tomaszczyk et al. submitted). The study reports on the annotation practice in WG 4.1.1. Incivility in media and social media in the context of COST Action CA 18209 European network for Web-centred linguistic data science (Nexus Linguarum) with 2 the INCEpTION tool (https://github.com/inception-project/inception) – a semantic annotation platform offering assistance in annotation. The results partly support the proposed ontology of explicit offence and positive implicitness types to provide more variance among widely recognized types of figurative language (e.g., metaphorical, metonymic, ironic, etc.). The use of the annotation system and the representation of linguistic data have also been evaluated in a series of the annotators’ comments, using a questionnaire method and in an open discussion. The annotation results and the questionnaire showed that for some of the categories, there was low or medium inter-annotator agreement, and it was more challenging for annotators to distinguish between category items than between aspect items, with the category items of offensive, insulting and abusive being the most difficult in this respect. The need for taxonomic simplification measures in this respect has been recognized for further annotation practices.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
60203 - Linguistics
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Rasprave Instituta za Hrvatski Jezik i Jezikoslovlje
ISSN
1331-6745
e-ISSN
1849-0379
Volume of the periodical
49
Issue of the periodical within the volume
1
Country of publishing house
HR - CROATIA
Number of pages
21
Pages from-to
155-175
UT code for WoS article
001153374200005
EID of the result in the Scopus database
2-s2.0-85177228943