activity
20182021
most citedMulti-step Joint-Modality Attention Network for Scene-Aware Dialogue System

18 citations · 23 across the 3 of their papers we have counts for

collaborators

8 papers

cs.CL2021

Decision-Focused Summarization

Chao-Chun Hsu, Chenhao Tan

Relevance in summarization is typically defined based on textual information alone, without incorporating insights about a particular decision. As a result, to support risk analysi…

cs.CL2021

Answer Generation for Retrieval-based Question Answering Systems

Chao-Chun Hsu, Eric Lind, Luca Soldaini +1

Recent advancements in transformer-based models have greatly improved the ability of Question Answering (QA) systems to provide correct answers; in particular, answer sentence sele…

cs.CL2020

Characterizing the Value of Information in Medical Notes

Chao-Chun Hsu, Shantanu Karnwal, Sendhil Mullainathan +2

Machine learning models depend on the quality of input data. As electronic health records are widely adopted, the amount of data in health care is growing, along with complaints ab…

cs.CL202018 cited

Multi-step Joint-Modality Attention Network for Scene-Aware Dialogue System

Yun-Wei Chu, Kuan-Yen Lin, Chao-Chun Hsu +1

Understanding dynamic scenes and dialogue contexts in order to converse with users has been challenging for multimodal dialogue systems. The 8-th Dialog System Technology Challenge…

cs.CL20192 cited

Knowledge-Enriched Visual Storytelling

Chao-Chun Hsu, Zi-Yuan Chen, Chi-Yang Hsu +4

Stories are diverse and highly personalized, resulting in a large possible output space for story generation. Existing end-to-end approaches produce monotonous stories because they…

cs.CL2019

Entropy-Enhanced Multimodal Attention Model for Scene-Aware Dialogue Generation

Kuan-Yen Lin, Chao-Chun Hsu, Yun-Nung Chen +1

With increasing information from social media, there are more and more videos available. Therefore, the ability to reason on a video is important and deserves to be discussed. TheD…