Place of publication:
- Global WordNet Conference 2019
Title:
GWC2019 presentation: Propagation of emotions, arousal and polarity in WordNet using Heterogeneous Structured Synset Embeddings
Authors:
Jan Kocoń, Arkadiusz Janz, Piotr Miłkowski, Monika Riegel, Małgorzata Wierzba, Artur Marchewka, Agnieszka Czoska, Damian Grimling, Barbara Konat, Konrad Juszczyk, Katarzyna Klessa, Maciej Piasecki
Abstract:
In this paper we present a novel method for emotive propagation in a wordnet based on a large emotive seed. We introduce a sense-level emotive lexicon annotated with polarity, arousal and emotions. The data were annotated as a part of a large study involving over 20,000 participants. A total of 30,000 lexical units in Polish WordNet were described with meta-data, each unit received about 50 annotations concerning polarity, arousal and 8 basic emotions, marked on a multilevel scale. We present a preliminary approach to propagating emotive metadata to unla-beled lexical units based on the distribution of manual annotations using logistic regression and description of mixed synset embeddings based on our Heterogeneous Structured Synset Embeddings.
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