Improving Multi-turn Emotional Support Dialogue Generation with
Lookahead Strategy Planning
- URL: http://arxiv.org/abs/2210.04242v1
- Date: Sun, 9 Oct 2022 12:23:47 GMT
- Title: Improving Multi-turn Emotional Support Dialogue Generation with
Lookahead Strategy Planning
- Authors: Yi Cheng, Wenge Liu, Wenjie Li, Jiashuo Wang, Ruihui Zhao, Bang Liu,
Xiaodan Liang and Yefeng Zheng
- Abstract summary: We propose a novel system MultiESC to provide Emotional Support.
For strategy planning, we propose lookaheads to estimate the future user feedback after using particular strategies.
For user state modeling, MultiESC focuses on capturing users' subtle emotional expressions and understanding their emotion causes.
- Score: 81.79431311952656
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Providing Emotional Support (ES) to soothe people in emotional distress is an
essential capability in social interactions. Most existing researches on
building ES conversation systems only considered single-turn interactions with
users, which was over-simplified. In comparison, multi-turn ES conversation
systems can provide ES more effectively, but face several new technical
challenges, including: (1) how to adopt appropriate support strategies to
achieve the long-term dialogue goal of comforting the user's emotion; (2) how
to dynamically model the user's state. In this paper, we propose a novel system
MultiESC to address these issues. For strategy planning, drawing inspiration
from the A* search algorithm, we propose lookahead heuristics to estimate the
future user feedback after using particular strategies, which helps to select
strategies that can lead to the best long-term effects. For user state
modeling, MultiESC focuses on capturing users' subtle emotional expressions and
understanding their emotion causes. Extensive experiments show that MultiESC
significantly outperforms competitive baselines in both dialogue generation and
strategy planning. Our codes are available at
https://github.com/lwgkzl/MultiESC.
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