EVOKE: Emotion Vocabulary Of Korean and English

TL;DR

EVOKE is a comprehensive Korean-English emotion vocabulary dataset with detailed annotations, supporting cross-lingual emotion research and NLP applications.

Contribution

It provides the most systematic, theory-agnostic emotion word dataset for Korean and English, including many-to-many translations and polysemy annotations.

Findings

Contains 1,426 Korean and 1,397 English emotion words.

Includes annotations of multiple meanings and metaphors.

Publicly available at https://github.com/yoonwonj/EVOKE.

Abstract

This paper introduces EVOKE (Emotion Vocabulary of Korean and English), a Korean-English parallel dataset of emotion words. 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 1,426 Korean words and 1,397 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 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.