Papers by Dohee Kim
AniEE: A Dataset of Animal Experimental Literature for Event Extraction (2023.findings-emnlp)
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| Challenge: | Event extraction (EE) is a crucial information extraction task in biomedical domain . existing biomedically EE datasets focus on cell experiments or overall procedures . |
| Approach: | They propose an animal experiment customized entity and event scheme for event extraction . they create an expert-annotated high-quality dataset containing discontinuous entities and nested events . |
| Outcome: | The proposed dataset is based on the animal experiment stage and a NER and EE model. |
Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model (2022.emnlp-main)
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Hojun Cho, Dohee Kim, Seungwoo Ryu, ChaeHun Park, Hyungjong Noh, Jeong-in Hwang, Minseok Choi, Edward Choi, Jaegul Choo
| Challenge: | Existing methods to train text style transfer models with adversarial loss degrade fluency compared to other metrics. |
| Approach: | They propose a method which leverages a pretrained language model to improve fluency by restructuring the discriminator and the model itself. |
| Outcome: | The proposed model achieves state-of-the-art on three public benchmarks and achieved state-outperformance on the overall metrics. |
Towards Formality-Aware Neural Machine Translation by Leveraging Context Information (2023.findings-emnlp)
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| Challenge: | Formality is one of the most important linguistic properties to determine the naturalness of translation. |
| Approach: | They propose a method to explicitly inform neural machine translation models by pinpointing key informative tokens using a formality classifier. |
| Outcome: | The proposed method improves translation quality and conforms to the appropriate syntax. |