activity
20172026
most citedSpeaker Role Contextual Modeling for Language Understanding and Dialogue Policy Learning

19 citations · 85 across the 20 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

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★ 13 cited

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…

cs.CL2019★ 1 cited

HUMBO: Bridging Response Generation and Facial Expression Synthesis

Shang-Yu Su, Po-Wei Lin, Yun-Nung Chen

Spoken dialogue systems that assist users to solve complex tasks such as movie ticket booking have become an emerging research topic in artificial intelligence and natural language…

cs.CL2019★ 6 cited

Dual Supervised Learning for Natural Language Understanding and Generation

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

Natural language understanding (NLU) and natural language generation (NLG) are both critical research topics in the NLP field. Natural language understanding is to extract the core…

cs.CL2019★ 3 cited

Knowledge-Grounded Response Generation with Deep Attentional Latent-Variable Model

Hao-Tong Ye, Kai-Ling Lo, Shang-Yu Su +1

End-to-end dialogue generation has achieved promising results without using handcrafted features and attributes specific for each task and corpus. However, one of the fatal drawbac…

cs.CL2019★ 1 cited

Learning Multi-Level Information for Dialogue Response Selection by Highway Recurrent Transformer

Ting-Rui Chiang, Chao-Wei Huang, Shang-Yu Su +1

With the increasing research interest in dialogue response generation, there is an emerging branch formulating this task as selecting next sentences, where given the partial dialog…

cs.CL2019★ 3 cited

RAP-Net: Recurrent Attention Pooling Networks for Dialogue Response Selection

Chao-Wei Huang, Ting-Rui Chiang, Shang-Yu Su +1

The response selection has been an emerging research topic due to the growing interest in dialogue modeling, where the goal of the task is to select an appropriate response for con…