AGRI-QAS question-answering system for agriculture domain
AGRI-QAS question-answering system for agriculture domain
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DOI：
10.1109/icacci.2015.7275820
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发表时间：
2015-09
期刊：
影响因子：
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通讯作者：
Sharvari Gaikwad;Rohan Asodekar;Sunny Gadia;V. Attar
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文献类型：
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作者：
Sharvari Gaikwad;Rohan Asodekar;Sunny Gadia;V. Attar
在本文中，我们重点介绍针对农业领域的强大域名答案系统。语言处理和信息检索。我们专注于开发一个处理非结构化数据的系统，并返回实际答案，例如“哪个”，“什么”，“谁”，“哪些疾病会影响小麦作物？”，“北美地区的流行疾病是什么？”
In this paper, we focus on the need for a robust domain specific question answering system targeting agriculture domain. It aims to help farmers get information and resolve their queries related to agriculture and thereby improving agriculture literacy. The system is based on the principles of natural language processing and information retrieval. Most of the currently available information retrieval tools return ranked list of documents instead of precise answers and do not support runtime answer retrieval. Thus we focus on developing a system which processes unstructured data and returns actual answer for FACTOID questions such as `which', `what', `who', `where'. For example, “which diseases affect the wheat crop?”, “what are the prevalent diseases in North-America region?” etc.