KBQA: Learning Question Answering over QA Corpora and Knowledge Bases

作者: Wanyun Cui , Yangqiu Song , Yanghua Xiao , Haixun Wang , Seung-won Hwang

DOI: 10.14778/3055540.3055549

关键词:

摘要: Question answering (QA) has become a popular way for humans to access billion-scale knowledge bases. Unlike web search, QA over a knowledge base gives out accurate and concise results, provided that natural language questions can be understood and mapped precisely to structured queries over the knowledge base. The challenge, however, is that a human can ask one question in many different ways. Previous approaches have natural limits due to their representations: rule based approaches only understand a small set of" …

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