4 papers
EVOKE: Emotion Vocabulary Of Korean and English
Yoonwon Jung, Hagyeong Shin, Benjamin K. Bergen
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 wor…
FECT: Factuality Evaluation of Interpretive AI-Generated Claims in Contact Center Conversation Transcripts
Hagyeong Shin, Binoy Robin Dalal, Iwona Bialynicka-Birula +4
Large language models (LLMs) are known to hallucinate, producing natural language outputs that are not grounded in the input, reference materials, or real-world knowledge. In enter…
Polarization and Morality: Lexical Analysis of Abortion Discourse on Reddit
Tessa Stanier, Hagyeong Shin
This study investigates whether division on political topics is mapped with the distinctive patterns of language use. We collect a total 145,832 Reddit comments on the abortion deb…
Do language models capture implied discourse meanings? An investigation with exhaustivity implicatures of Korean morphology
Hagyeong Shin, Sean Trott
Markedness in natural language is often associated with non-literal meanings in discourse. Differential Object Marking (DOM) in Korean is one instance of this phenomenon, where pos…