7 citations · 13 across the 3 of their papers we have counts for
3 papers
cs.CL2020
Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter
Costanza Conforti, Jakob Berndt, Mohammad Taher Pilehvar +3
We present a new challenging stance detection dataset, called Will-They-Won't-They (WT-WT), which contains 51,284 tweets in English, making it by far the largest available dataset…
cs.CL2020★ 6 cited
Prototype-to-Style: Dialogue Generation with Style-Aware Editing on Retrieval Memory
Yixuan Su, Yan Wang, Simon Baker +4
The ability of a dialog system to express prespecified language style during conversations has a direct, positive impact on its usability and on user satisfaction. We introduce a n…
cs.CL2020★ 7 cited
Stylistic Dialogue Generation via Information-Guided Reinforcement Learning Strategy
Yixuan Su, Deng Cai, Yan Wang +4
Stylistic response generation is crucial for building an engaging dialogue system for industrial use. While it has attracted much research interest, existing methods often generate…