activity
20172022
most citedSpeaker Role Contextual Modeling for Language Understanding and Dialogue Policy Learning

19 citations · 44 across the 9 of their papers we have counts for

collaborators

17 papers

cs.CL20225 cited

BARCOR: Towards A Unified Framework for Conversational Recommendation Systems

Ting-Chun Wang, Shang-Yu Su, Yun-Nung Chen

Recommendation systems focus on helping users find items of interest in the situations of information overload, where users' preferences are typically estimated by the past observe…

cs.CL2020

Dual Inference for Improving Language Understanding and Generation

Shang-Yu Su, Yung-Sung Chuang, Yun-Nung Chen

Natural language understanding (NLU) and Natural language generation (NLG) tasks hold a strong dual relationship, where NLU aims at predicting semantic labels based on natural lang…

cs.CL20205 cited

Lifelong Language Knowledge Distillation

Yung-Sung Chuang, Shang-Yu Su, Yun-Nung Chen

It is challenging to perform lifelong language learning (LLL) on a stream of different tasks without any performance degradation comparing to the multi-task counterparts. To addres…

cs.CL20205 cited

Towards Unsupervised Language Understanding and Generation by Joint Dual Learning

Shang-Yu Su, Chao-Wei Huang, Yun-Nung Chen

In modular dialogue systems, natural language understanding (NLU) and natural language generation (NLG) are two critical components, where NLU extracts the semantics from the given…

cs.CL2019

Towards Understanding of Medical Randomized Controlled Trials by Conclusion Generation

Alexander Te-Wei Shieh, Yung-Sung Chuang, Shang-Yu Su +1

Randomized controlled trials (RCTs) represent the paramount evidence of clinical medicine. Using machines to interpret the massive amount of RCTs has the potential of aiding clinic…

cs.CL2019

Reactive Multi-Stage Feature Fusion for Multimodal Dialogue Modeling

Yi-Ting Yeh, Tzu-Chuan Lin, Hsiao-Hua Cheng +3

Visual question answering and visual dialogue tasks have been increasingly studied in the multimodal field towards more practical real-world scenarios. A more challenging task, aud…