语言聊天机器人——英语语言迁移学习代理app的设计与实现

Nuobei Shi, Qin Zeng, Raymond S. T. Lee
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引用次数: 12

摘要

语言聊天机器人广泛应用于客户服务和个人助理的任务导向、特殊领域的交互式聊天、问答系统的知识库,一般来说,聊天机器人包括自动语音识别(ASR)、自然语言理解(NLU)、对话管理(DM)、自然语言生成(NLG)、语音合成(SS)等。在我们的研究中,我们在实际应用中提出了一个基于迁移学习的英语语言学习聊天机器人三级学习系统,该系统将Open AI的谷歌和GPT-2的识别服务与b微信的小程序中NLU和NLG的对话任务集成在一起。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Language Chatbot–The Design and Implementation of English Language Transfer Learning Agent Apps
Language Chatbot has widely used in customer service and personal assistant for task orientated, interactive chats in special domains, knowledge base for question-answer systems, in general, chatbot including automatic speech recognition (ASR), natural language understanding (NLU), dialogue management (DM), natural language generation (NLG), speech synthesis (SS). In our research, we proposed a transfer learning-based English Language learning chatbot with THREE levels learning system in real-world application, which integrate recognition service from Google and GPT-2 from Open AI with dialogue tasks in NLU and NLG at miniprogram of WeChat.
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