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Overview of knowledge extraction techniques in five question-answering systems

机译:五个问答系统中的知识提取技术概述

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Knowledge extraction is a complex process allowing the identification of previously unknown structures and potentially useful original information from big masses of data. Among its domains of application, we find the question answering systems. This article aims to provide an overview of five Q/A systems : IntelliServe, LaSIE, Quantum, SBLD and Watson. IntelliServe and Watson are commercial and the others are dedicated to the field of research. Each of these systems uses special techniques for the treatment of requests as well as for the extraction of the response.
机译:知识提取是一个复杂的过程,可以从大量数据中识别以前未知的结构和可能有用的原始信息。在其应用领域中,我们找到了问答系统。本文旨在概述五个Q / A系统:IntelliServe,LaSIE,Quantum,SBLD和Watson。 IntelliServe和Watson是商业性的,其他则致力于研究领域。这些系统中的每一个都使用特殊的技术来处理请求以及提取响应。

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