基于NLP技术的教育行为问答系统

Sweta P. Lende, M. Raghuwanshi
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引用次数: 50

摘要

信息检索中的问答(QA)系统是利用预先构建的数据库或自然语言文档集合,对人类提出的自然语言问题自动给出正确答案的任务。它只显示所请求的信息,而不像搜索引擎那样搜索完整的文档。随着日常生活中的信息不断增加,即使是一个简单的查询也需要大量且昂贵的资源来检索准确的信息片段。本文描述了通用语言问答系统的不同方法和实现细节,并提出了封闭域问答系统,用于处理与教育法案部分相关的文档,使用NLP技术检索更精确的答案。
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Question answering system on education acts using NLP techniques
Question Answering (QA) system in information retrieval is a task of automatically answering a correct answer to the questions asked by human in natural language using either a pre-structured database or a collection of natural language documents. It presents only the requested information instead of searching full documents like search engine. As information in day to day life is increasing, so to retrieve the exact fragment of information even for a simple query requires large and expensive resources. This is the paper which describes the different methodology and implementation details of question answering system for general language and also proposes the closed domain QA System for handling documents related to education acts sections to retrieve more precise answers using NLP techniques.
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