首页|一种融合情感和策略信息的共情对话生成方法

一种融合情感和策略信息的共情对话生成方法

扫码查看
共情对话旨在为情感焦虑的对话系统聊天用户提供心理健康支持,因此,赋予对话系统共情能力是一个值得关注的问题.现有方法往往只能识别用户的情感状态,并不能根据聊天用户不同的情感状态生成有效的、具有同理心的回复,更不能缓解用户的不良情感.因此,在构建情感支持对话系统的研究中,如何动态地捕捉用户的细粒度情感特征并根据情感特征提供相应的心理支持,需要进一步地探索.该文提出一个情感和策略信息融合的共情对话生成方法,该方法首先使用情感分类网络动态感知用户的情感状态;然后利用支持策略准确地建模策略匹配网络,并根据对话上下文引入对话生成网络进行回复生成;最后,通过比较所提方法和当前较为先进的方法在相应数据集上的实验结果,验证所提方法的有效性以及情感支持的重要性.
Empathetic Dialogue Generation via Sentiment and Support Strategy
Empathic dialogue aims to provide mental health support for anxious users,thus chatbots with empathic capabilities is a noteworthy issue.The existing methods can only identify users'sentiment states,but can not effectively generate empathetic responses according to users'different sentiment states and let alone effectively relieve users'bad emotions.Therefore,in the research of building sentiment support chatbots,how to dynamically capture users'fine-grained sentiment features and provide corresponding psychological support according to sentiment features needs to be further explored.This paper proposes an empathic dialogue generation method based on the fusion of emotion and strategy.Firstly,the sentiment classification network is used to dynamically perceive the user's sentiment state.Then the support strategy is used to accurately model the strategy matching network which is introduced according to the context of the conversation to generate the conversation.Finally,by comparing the experimental results of the proposed method and the current advanced methods on the corresponding datasets,the effectiveness of the proposed method and the importance of sentiment support are verified.

Empathic dialogueSentiment supportDialogue generationSupport strategy

朱振方、李嘉欣、徐富永、刘培玉、张广渊

展开 >

山东交通学院信息科学与电气工程学院 济南 250357

山东师范大学信息科学与工程学院 济南 250358

共情对话 情感支持 对话生成 支持策略

国家社科基金

19BYY076

2024

电子与信息学报
中国科学院电子学研究所 国家自然科学基金委员会信息科学部

电子与信息学报

CSTPCD北大核心
影响因子:1.302
ISSN:1009-5896
年,卷(期):2024.46(8)