Towards Emotive Annotation in plWordNet 4.0

Monika Zaśko-Zielińska, Maciej Piasecki


Abstract
The paper presents an approach to building a very large emotive lexicon for Polish based on plWordNet. An expanded annotation model is discussed, in which lexical units (word senses) are annotated with basic emotions, fundamental human values and sentiment polarisation. The annotation process is performed manually in the 2+1 scheme by pairs of linguists and psychologies. Guidelines referring to the usage in corpora, substitution tests as well linguistic properties of lexical units (e.g. derivational associations) are discussed. Application of the model in a substantial extension of the emotive annotation of plWordNet is presented. The achieved high inter-annotator agreement shows that with relatively small workload a promising emotive resource can be created.
Anthology ID:
2018.gwc-1.18
Volume:
Proceedings of the 9th Global Wordnet Conference
Month:
January
Year:
2018
Address:
Nanyang Technological University (NTU), Singapore
Editors:
Francis Bond, Piek Vossen, Christiane Fellbaum
Venue:
GWC
SIG:
SIGLEX
Publisher:
Global Wordnet Association
Note:
Pages:
153–162
Language:
URL:
https://aclanthology.org/2018.gwc-1.18
DOI:
Bibkey:
Cite (ACL):
Monika Zaśko-Zielińska and Maciej Piasecki. 2018. Towards Emotive Annotation in plWordNet 4.0. In Proceedings of the 9th Global Wordnet Conference, pages 153–162, Nanyang Technological University (NTU), Singapore. Global Wordnet Association.
Cite (Informal):
Towards Emotive Annotation in plWordNet 4.0 (Zaśko-Zielińska & Piasecki, GWC 2018)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingest-acl-2023-videos/2018.gwc-1.18.pdf