Papers by Bosung Kim
SYMPTOMIFY: Transforming Symptom Annotations with Language Model Knowledge Harvesting (2023.findings-emnlp)
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| Challenge: | a new dataset of annotated vaccine adverse reaction reports is aimed at improving human annotators . a continual evolution in language models and strides in few-shot learning offer promise for improvement. |
| Approach: | They propose a resource to help human annotators improve their efficiency . they evaluate performance across various methods and learning paradigms . |
| Outcome: | The proposed resource outperforms existing systems and learning paradigms in evaluating their performance. |
Multi-Task Learning for Knowledge Graph Completion with Pre-trained Language Models (2020.coling-main)
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| Challenge: | Existing knowledge graph completion methods are lacking in ranking metrics such as Hits@k . despite the high performance, the proposed method is still behind state-of-the-art models. |
| Approach: | They propose a multi-task learning method that integrates relational and relevance ranking tasks with target link prediction to improve ranking performance. |
| Outcome: | The proposed method improves ranking performance but still behind state-of-the-art models in Hits@k and Mean Rank metrics. |