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Building a domain knowledge and term identity using crowd sourcing

机译:使用众包构建领域知识和术语标识

摘要

An approach is provided in which a QA system ingests traditional sources, which includes traditional terms, into a domain dictionary. Next, the QA system ingests crowd-based sources that include crowd-based terms and corresponding crowd-based metadata. In turn, the QA system calculates weightings pertaining to the traditional terms based upon the crowd-based metadata. When the QA system receives a question from a requestor that includes question terms, the QA system identifies an answer to the question based on the calculated weightings pertaining to the traditional terms that are relevant to the question terms.
机译:提供了一种方法,其中QA系统将包括传统术语的传统资源提取到域词典中。接下来,质量检查系统提取基于人群的资源,其中包括基于人群的术语和相应的基于人群的元数据。反过来,质量检查系统会基于基于人群的元数据来计算与传统术语有关的权重。当QA系统从请求者那里收到一个包含问题词的问题时,QA系统会根据计算得出的与与问题词相关的传统术语有关的权重,来确定问题的答案。

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