农业领域聊天机器人系统研究综述

P. Niranjan, V. Rajpurohit, Rasika Malgi
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引用次数: 11

摘要

聊天机器人系统是自然语言处理的一部分,它要求系统按照人类语言进行训练,使其能够满足用户的需求。农业领域是国家经济增长的主要来源。目前,农民对农业领域使用的最新技术和做法知之甚少。利用机器学习技术提取有意义的答案是许多机器学习专家研究的问题,并介绍了先进的机器学习技术。这些技术被用来提取准确的答案。我们可以称之为农业问答系统,农民可以向系统提问,系统理解这个问题并对给定的问题做出回应。在本文中,我们主要关注机器学习技术,回顾了为给定问题提取精确答案的方法。我们提出了建议并进行了对比分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Survey on Chat-Bot system for Agriculture Domain
Chat-Bot system is a part of natural language processing, where it requires system to be trained as per the human language, so that it can satisfy the needs of the user. Agriculture domain is leading source of countries growth. At present farmers are not much aware about recent technologies and practices being used in agriculture field. Extraction of meaningful answer by machine learning techniques is a problem, that has been studied by many machine learning experts as well as advanced machine learning techniques are introduced. These techniques are applied to extract the accurate answer. We can call this as an Agriculture Question Answering System, where the farmer can query the system and the system understands the query and responds to a given query. In this paper, we have reviewed extracting a precise answer for a given question by mainly focusing on machine learning techniques. We have made suggestions and provided the comparative analysis.
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