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Part of book or chapter of book . 2025
License: CC BY
Data sources: Datacite
ZENODO
Part of book or chapter of book . 2025
License: CC BY
Data sources: Datacite
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Frame semantics and verbs of emotion

Authors: Kukova, Hristina;

Frame semantics and verbs of emotion

Abstract

The intersection of lexical semantics and syntax has been an important area of linguistics for some time. Verbs as the core of the lexicon are key to exploring theinteraction between syntax and semantics and to understanding the nature of thelexicon. The study focuses on verbs of emotion in the Bulgarian language and theirframe semantics. An overview of theoretical and empirical observations forms thegeneral aim of the study. Neutral, positive and negative verbs of emotion are discussed and the results are summarised. The analysis is based on the semantic andpartly morphological information of the lexical units from the WordNet (Fellbaum1998) as well as on the semantic and syntactic features with which the investigatedemotion verbs are represented in the FrameNet (Fillmore et al. 1998, Ruppenhoferet al. 2016). Five semantic frames are documented, which were selected due to theirhigh frequency and the wide variety of lexical units they are evoked by. The de-scription includes grammatical features of the lexical units, semantic and syntacticrestrictions that verbs impose on the frame elements, and the assignment of theframe elements to a WordNet noun synset or subtree that reflects the realisation ofthe frame elements in context. The status of the frame elements, which is essentialfor the realisation of a lexical unit, is retrieved from FrameNet.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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