EVOKE: Emotion Vocabulary Of Korean and English

Yoonwon Jung, Hagyeong Shin, Benjamin K. Bergen
2/11/2026
cs.CL

Official code: yoonwonj/EVOKE (1 star, last commit 2026-04-13).

Abstract

This paper introduces EVOKE, a parallel dataset of emotion vocabulary in English and Korean. The dataset offers comprehensive coverage of emotion words in each language, in addition to many-to-many translations between words in the two languages and identification of language-specific emotion words. The dataset contains 1,427 Korean words and 1,399 English words, and we systematically annotate 819 Korean and 924 English adjectives and verbs. We also annotate multiple meanings of each word and their relationships, identifying polysemous emotion words and emotion-related metaphors. The dataset is, to our knowledge, the most comprehensive, systematic, and theory-agnostic dataset of emotion words in both Korean and English to date. It can serve as a practical tool for emotion science, psycholinguistics, computational linguistics, and natural language processing, allowing researchers to adopt different views on the resource reflecting their needs and theoretical perspectives. The dataset is publicly available at https://github.com/yoonwonj/EVOKE.

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This is a public repository of EVOKE (Emotion Vocabulary Of Korean and English) dataset.

11Feb 9, 20266 months agoNOASSERTION

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Cite this paper

@article{jung2026evoke,
  title  = {EVOKE: Emotion Vocabulary Of Korean and English},
  author = {Yoonwon Jung and Hagyeong Shin and Benjamin K. Bergen},
  year   = {2026},
  eprint = {2602.10414},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2602.10414v1}
}

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