Sanghoun Song

Assistant Professor

Korea University

South Korea

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About

Sanghoun Song is an Assistant Professor at Korea University, South Korea. His research interests encompass semantics, multilingual capabilities of AI, and applications of deep learning in language processing. Recent publications include studies on embedding predicates in Korean, the performance of GPT models in medical advice, and the analysis of disfluency in reading tasks for individuals who stutter.

Articles (6)

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2021

Year:

2020

Collaborators (2)

Yoojoong Kim

The Catholic University of Korea

SOUTH KOREA

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Jieun Lee

Research Professor

Korea University

SOUTH KOREA

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Sanghoun Song

Research Interests

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Articles (6)

The semantics of embedding predicates influence the acceptability of internally headed relative clauses in Korean

Multilingual capabilities of GPT: A study of structural ambiguity

Fine-Tuned Bidirectional Encoder Representations From Transformers Versus ChatGPT for Text-Based Outpatient Department Recommendation: Comparative Study

Assessing GPT-4’s Performance in Delivering Medical Advice: Comparative Analysis With Human Experts

A Word Pair Dataset for Semantic Similarity and Relatedness in Korean Medical Vocabulary: Reference Development and Validation

Analyzing the Disfluency of Reading Tasks of Persons Who Stutter Based on Deep Learning and Word Embedding

Collaborators (2)

Yoojoong Kim

Jieun Lee

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