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Question Answering with Knowledge Base, Web and Beyond

机译:Web和其他基础知识的问答

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摘要

Developing a Question Answering (QA) system to automatically answer natural-language questions has been a long-standing research problem since the dawn of Al, for its clear practical and scientific value. For instance, whether a system can answer questions correctly is a natural way to evaluate a machine's understanding of a domain. Providing succinct and precise answers to informational queries is also the direction pursued by the next generation of search engines that aim to incorporate more "semantics", as well as the basic function in digital assistants like Siri and Cortana.
机译:自Al诞生以来,开发具有自动回答自然语言问题的问答系统(QA)一直是一项长期存在的研究问题,因为它具有明显的实用价值和科学价值。例如,系统是否可以正确回答问题是评估机器对域的理解的自然方法。为信息查询提供简洁准确的答案也是下一代搜索引擎所追求的方向,这些搜索引擎旨在整合更多的“语义”,以及Siri和Cortana之类的数字助理的基本功能。

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