In this paper, we build a semantic parser that does not require example annotations or question-answer pairs but instead learns from a large knowledge base (KB) and web-scale corpora.
we exploit Freebase, a large community-authored knowledge base that spans many sub-domains and stores real world facts in graphical format, and parsed sentences from a large corpus.