2 citations · 5 across the 3 of their papers we have counts for
5 papers
Few-Shot Learning of an Interleaved Text Summarization Model by Pretraining with Synthetic Data
Sanjeev Kumar Karn, Francine Chen, Yan-Ying Chen +2
Interleaved texts, where posts belonging to different threads occur in a sequence, commonly occur in online chat posts, so that it can be time-consuming to quickly obtain an overvi…
A Visual Analytics Framework for Contrastive Network Analysis
Takanori Fujiwara, Jian Zhao, Francine Chen +1
A common network analysis task is comparison of two networks to identify unique characteristics in one network with respect to the other. For example, when comparing protein intera…
Thoracic Disease Identification and Localization using Distance Learning and Region Verification
Cheng Zhang, Francine Chen, Yan-Ying Chen
The identification and localization of diseases in medical images using deep learning models have recently attracted significant interest. Existing methods only consider training t…
Addressing Data Bias Problems for Chest X-ray Image Report Generation
Philipp Harzig, Yan-Ying Chen, Francine Chen +1
Automatic medical report generation from chest X-ray images is one possibility for assisting doctors to reduce their workload. However, the different patterns and data distribution…
A Hierarchical Decoder with Three-level Hierarchical Attention to Generate Abstractive Summaries of Interleaved Texts
Sanjeev Kumar Karn, Francine Chen, Yan-Ying Chen +2
Interleaved texts, where posts belonging to different threads occur in one sequence, are a common occurrence, e.g., online chat conversations. To quickly obtain an overview of such…