Papers by Bosung Kim

2 papers
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.

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