2 citations · 2 across the 4 of their papers we have counts for
5 papers
Improving Detail in Pluralistic Image Inpainting with Feature Dequantization
Kyungri Park, Woohwan Jung
Pluralistic Image Inpainting (PII) offers multiple plausible solutions for restoring missing parts of images and has been successfully applied to various applications including ima…
Improving Domain-Specific ASR with LLM-Generated Contextual Descriptions
Jiwon Suh, Injae Na, Woohwan Jung
End-to-end automatic speech recognition (E2E ASR) systems have significantly improved speech recognition through training on extensive datasets. Despite these advancements, they st…
Enhancing Low-resource Fine-grained Named Entity Recognition by Leveraging Coarse-grained Datasets
Su Ah Lee, Seokjin Oh, Woohwan Jung
Named Entity Recognition (NER) frequently suffers from the problem of insufficient labeled data, particularly in fine-grained NER scenarios. Although -shot learning techniques c…
Dual Supervision Framework for Relation Extraction with Distant Supervision and Human Annotation
Woohwan Jung, Kyuseok Shim
Relation extraction (RE) has been extensively studied due to its importance in real-world applications such as knowledge base construction and question answering. Most of the exist…
Crowdsourced Truth Discovery in the Presence of Hierarchies for Knowledge Fusion
Woohwan Jung, Younghoon Kim, Kyuseok Shim
Existing works for truth discovery in categorical data usually assume that claimed values are mutually exclusive and only one among them is correct. However, many claimed values ar…