ConSQL:一个数据库语言,用于上下文意识的对话式协作查询和回答.
1Department of Computer Science, University of Idaho, 875 Perimeter Drive, Moscow, 83844, ID, USA.
Research square
|July 28, 2023
概括
对话AI中的上下文建模通过将上下文视为距离函数来改进. 这种方法使用查询放松和非单调约束继承来实现更高效的聊天机器人交互.
科学领域:
- 自然语言处理自然语言处理.
- 人工智能的人工智能
- 人与计算机的交互
背景情况:
- 交谈式查询答复系统往往由于对上下文的理解不足而失败,导致重复的交互或升级到人类代理.
- 有效的上下文管理对于减少交互时间和改善聊天机器人的用户体验至关重要.
- 现有的方法难以捕捉正在进行的对话中背景的动态性质.
研究的目的:
- 在对话系统中引入一种用于模拟语境的新方法.
- 为了证明距离函数在表示对话上下文中的有效性.
- 探索用于上下文建模的查询放松和非单调约束继承的使用.
主要方法:
- 将对话的背景视为一个距离函数.
- 使用查询放松概念来定义上下文.
- 使用类型域距离函数来建模上下文.
- 在上下文层次结构中实现非单调的约束继承.
主要成果:
- 一个类型域距离函数足以建模对话上下文.
- 拟议的方法有效地捕捉隐含的查询约束,缩小了搜索范围.
- 非单调的约束继承促进了对上下文进展的更强有力的理解.
结论:
- 使用查询放松,可以有效地将上下文建模为距离函数.
- 这种新的方法增强了对话系统维持和利用上下文的能力.
- 这些发现为更自然,更有效的人机交互铺平了道路.
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