activity
20182026
most citedxSense: Learning Sense-Separated Sparse Representations and Textual Definitions for Explainable Word Sense Networks

17 citations · 21 across the 6 of their papers we have counts for

collaborators
Showing cs.CLShow all

5 papers · 1 filter

cs.CL2025

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…

cs.CL2025

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…

cs.CL2022★ 4 cited

PLM-ICD: Automatic ICD Coding with Pretrained Language Models

Chao-Wei Huang, Shang-Chi Tsai, Yun-Nung Chen

Automatically classifying electronic health records (EHRs) into diagnostic codes has been challenging to the NLP community. State-of-the-art methods treated this problem as a multi…

cs.CL2021

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…

cs.CL2018★ 17 cited

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…