Papers by Jongin Kim
StyleKQC: A Style-Variant Paraphrase Corpus for Korean Questions and Commands (2022.lrec-1)
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| Challenge: | Especially for questions and commands, style-variant paraphrasing can be crucial in tone and manner. |
| Approach: | They propose a corpus construction scheme that considers intent and formality of directives in Korean language. |
| Outcome: | The proposed method is validated by a corpus construction scheme on Korean topics. |
Enhancing Emotion Prediction in News Headlines: Insights from ChatGPT and Seq2Seq Models for Free-Text Generation (2024.lrec-main)
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Ge Gao, Jongin Kim, Sejin Paik, Ekaterina Novozhilova, Yi Liu, Sarah T. Bonna, Margrit Betke, Derry Tanti Wijaya
| Challenge: | Existing methods for classifying discrete emotions from news headlines have been limited to using headlines. |
| Approach: | They propose to use people’s free-text explanations to classify emotions elicited by news headlines to generate emotion explanations from headlines. |
| Outcome: | The proposed method improves on methods that only use headlines and train a pretrained model for explanation generation. |
COVID-19 Vaccine Misinformation in Middle Income Countries (2023.emnlp-main)
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| Challenge: | a multilingual dataset of COVID-19 vaccine misinformation is available from Brazil, Indonesia, and Nigeria. |
| Approach: | They propose to use a multilingual dataset of COVID-19 vaccine misinformation from Brazil, Indonesia, and Nigeria to assess their relevance to vaccines and the presence of misinformation. |
| Outcome: | The proposed models improve from 2.7 to 15.9 percentage points in macro F1-score compared to baseline models. |