Search Results for author: Hao-Tong Ye

Found 2 papers, 1 papers with code

An Empirical Study of Content Understanding in Conversational Question Answering

1 code implementation24 Sep 2019 Ting-Rui Chiang, Hao-Tong Ye, Yun-Nung Chen

However, to best of our knowledge, two important questions for conversational comprehension research have not been well studied: 1) How well can the benchmark dataset reflect models' content understanding?

Conversational Question Answering

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

no code implementations23 Mar 2019 Hao-Tong Ye, Kai-Ling Lo, Shang-Yu Su, Yun-Nung Chen

End-to-end dialogue generation has achieved promising results without using handcrafted features and attributes specific for each task and corpus.

Dialogue Generation Response Generation

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