基于语义的自然语言生成的聊天机器人人性化研究

2019 International Conference on Intelligent Computing and Control Systems (ICCS) Pub Date : 2019-05-01 DOI:10.1109/ICCS45141.2019.9065723

Mayuresh Virkar, Vikas N. Honmane, S. Rao

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引用次数: 9

摘要

本文介绍了提高各种商业和银行部门使用的聊天机器人或人工会话实体效率的方法。人性化是指提高聊天机器人的响应生成能力。在这项工作中，通过使用各种自然语言处理(NLP)和自然语言生成(NLG)技术，尝试对人工会话实体提出的问题产生更自然的响应。释义生成的主要作用是为查询生成语义相似的响应，使其更自然。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Humanizing the Chatbot with Semantics based Natural Language Generation

This paper introduces approach made for improving the efficiency of the chatbot or artificial conversational entity used in various commercial and banking sector. Humanizing is to improving the response generation ability of the chatbot. In this work, an attempt has been made to generate more natural response for a question asked to an artificial conversational entity by using various Natural Language Processing (NLP) and Natural Language Generation (NLG) techniques. Paraphrase generation plays a main role by generating semantically similar response for a query making it more natural.

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2019 International Conference on Intelligent Computing and Control Systems (ICCS)

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