5 papers
Learning Preference from Observed Rankings
Yu-Chang Chen, Chen Chian Fuh, Shang En Tsai
Estimating consumer preferences is central to many problems in economics and marketing. This paper develops a flexible framework for learning individual preferences from partial ra…
ASMR: Augmenting Life Scenario using Large Generative Models for Robotic Action Reflection
Shang-Chi Tsai, Seiya Kawano, Angel Garcia Contreras +2
When designing robots to assist in everyday human activities, it is crucial to enhance user requests with visual cues from their surroundings for improved intent understanding. Thi…
Balancing Knowledge Delivery and Emotional Comfort in Healthcare Conversational Systems
Shang-Chi Tsai, Yun-Nung Chen
With the advancement of large language models, many dialogue systems are now capable of providing reasonable and informative responses to patients' medical conditions. However, whe…
Modeling Diagnostic Label Correlation for Automatic ICD Coding
Shang-Chi Tsai, Chao-Wei Huang, Yun-Nung Chen
Given the clinical notes written in electronic health records (EHRs), it is challenging to predict the diagnostic codes which is formulated as a multi-label classification task. Th…
xSense: Learning Sense-Separated Sparse Representations and Textual Definitions for Explainable Word Sense Networks
Ting-Yun Chang, Ta-Chung Chi, Shang-Chi Tsai +1
Despite the success achieved on various natural language processing tasks, word embeddings are difficult to interpret due to the dense vector representations. This paper focuses on…