Selecting Stickers in Open-Domain Dialogue through Multitask Learning. (arXiv:2209.07697v1 [cs.CL])

With the increasing popularity of online chatting, stickers are becoming
important in our online communication. Selecting appropriate stickers in
open-domain dialogue requires a comprehensive understanding of both dialogues
and stickers, as well as the relationship between the two types of modalities.
To tackle these challenges, we propose a multitask learning method comprised of
three auxiliary tasks to enhance the understanding of dialogue history, emotion
and semantic meaning of stickers. Extensive experiments conducted on a recent
challenging dataset show that our …

arxiv multitask learning