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首页> 外文会议>IAAI-12;Innovative applications of artificial intelligence conference;AAAI conference on artificial intelligence;Symposium on educational advances in artificial intelligence;AAAI-12;EAAI-12 >Enriching Chatter Bots With Semantic Conversation Control
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Enriching Chatter Bots With Semantic Conversation Control

机译：通过语义对话控制丰富聊天机器人

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Businesses deploy chatter bots to engage in text based conversations with customers that are intended resolve their issues. However, these chatter bots are only effective in exchanges consisting of question answer pairs, where the context may switch with every pair. I am designing a semantic architecture that enables chatter bots to hold short conversations, where context is maintained throughout the exchange. I leverage specific ideas from conversation theory, speech acts theory, and knowledge representation. My architecture models a conversation as a stochastic process that flows through a set of states. The main contribution of this work is that it analyses and models the semantics of conversations as entities, instead of lower level grammatical and linguistics forms. I evaluate the performance of the architecture in accordance with Grice's cooperative maxims, which form the central idea in the theory of pragmatics.
机译：企业部署聊天机器人以与客户进行基于文本的对话，以解决他们的问题。但是，这些聊天机器人仅在由问题答案对组成的交换中有效，其中上下文可能会随每对交换。我正在设计一种语义体系结构，使聊天机器人可以进行简短的对话，并在整个交换过程中保持上下文。我利用对话理论，言语行为理论和知识表示的特定思想。我的体系结构将对话建模为流经一组状态的随机过程。这项工作的主要贡献在于，它以实体的形式分析和建模了会话的语义，而不是将语法和语言的底层形式作为实体。我根据Grice的合作准则评估了体系结构的性能，这些准则构成了实用主义理论的中心思想。

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