222 citations · 268 across the 6 of their papers we have counts for
8 papers
Rethinking Dialogue State Tracking with Reasoning
Lizi Liao, Yunshan Ma, Wenqiang Lei +1
Tracking dialogue states to better interpret user goals and feed downstream policy learning is a bottleneck in dialogue management. Common practice has been to treat it as a proble…
Knowledge Enhanced Neural Fashion Trend Forecasting
Yunshan Ma, Yujuan Ding, Xun Yang +3
Fashion trend forecasting is a crucial task for both academia and industry. Although some efforts have been devoted to tackling this challenging task, they only studied limited fas…
Learning Goal-oriented Dialogue Policy with Opposite Agent Awareness
Zheng Zhang, Lizi Liao, Xiaoyan Zhu +4
Most existing approaches for goal-oriented dialogue policy learning used reinforcement learning, which focuses on the target agent policy and simply treat the opposite agent policy…
Who, Where, and What to Wear? Extracting Fashion Knowledge from Social Media
Yunshan Ma, Xun Yang, Lizi Liao +2
Fashion knowledge helps people to dress properly and addresses not only physiological needs of users, but also the demands of social activities and conventions. It usually involves…
Automatic Fashion Knowledge Extraction from Social Media
Yunshan Ma, Lizi Liao, Tat-Seng Chua
Fashion knowledge plays a pivotal role in helping people in their dressing. In this paper, we present a novel system to automatically harvest fashion knowledge from social media. I…
Deep Conversational Recommender in Travel
Lizi Liao, Ryuichi Takanobu, Yunshan Ma +3
When traveling to a foreign country, we are often in dire need of an intelligent conversational agent to provide instant and informative responses to our various queries. However,…