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Constructing a Textual KB from a Biology TextBook

机译:从生物学教科书构建文本知识库

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As part of our work on building a "knowledgeable textbook" about biology, we are developing a textual question-answering (QA) system that can answer certain classes of biology questions posed by users. In support of that, we are building a "textual KB" - an assembled set of semi-structured assertions based on the book - that can be used to answer users' queries, can be improved using global consistency constraints, and can be potentially validated and corrected by domain experts. Our approach is to view the KB as systematically caching answers from a QA system, and the QA system as assembling answers from the KB, the whole process kickstarted with an initial set of textual extractions from the book text itself. Although this research is only in a preliminary stage, we summarize our progress and lessons learned to date.
机译:作为构建有关生物学的“知识教科书”的工作的一部分,我们正在开发一种文本问题解答(QA)系统,该系统可以回答用户提出的某些类别的生物学问题。为了支持这一点,我们正在构建一个“文本KB”(基于书的半结构化断言的组合集),可用于回答用户的查询,可以使用全局一致性约束进行改进,并且可以进行验证并经过领域专家的更正。我们的方法是将KB视为从QA系统中系统地缓存答案,而将QA系统视为从KB中组合答案,整个过程首先从书本本身的文本提取集开始。尽管这项研究仅处于初步阶段,但我们总结了迄今为止的进展和经验教训。

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