Towards Emotive Annotation in plWordNet 4.0
Monika Zaśko-Zielińska, Maciej Piasecki · 2018
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.