The integration of emotional support into various conversational scenari...
It has been a hot research topic to enable machines to understand human
...
Given a limited labeling budget, active learning (AL) aims to sample the...
Dialogue disentanglement aims to detach the chronologically ordered
utte...
Existing task-oriented conversational search systems heavily rely on dom...
The rapid development of aspect-based sentiment analysis (ABSA) within r...
Conversation disentanglement aims to group utterances into detached sess...
This companion paper supports the replication of the fashion trend
forec...
Fashion trend forecasting is of great research significance in providing...
Tracking dialogue states to better interpret user goals and feed downstr...
Fashion trend forecasting is a crucial task for both academia and indust...
Most existing approaches for goal-oriented dialogue policy learning used...
Fashion knowledge plays a pivotal role in helping people in their dressi...
Fashion knowledge helps people to dress properly and addresses not only
...
When traveling to a foreign country, we are often in dire need of an
int...
Identifying mix-and-match relationships between fashion items is an urge...
In recent years, deep neural networks have yielded immense success on sp...