Semantic Parsing on Freebase from Question-Answer Pairs

  title={Semantic Parsing on Freebase from Question-Answer Pairs},
  author={Jonathan Berant and Andrew Chou and Roy Frostig and Percy Liang},
In this paper, we train a semantic parser that scales up to Freebase. Instead of relying on annotated logical forms, which is especially expensive to obtain at large scale, we learn from question-answer pairs. The main challenge in this setting is narrowing down the huge number of possible logical predicates for a given question. We tackle this problem in two ways: First, we build a coarse mapping from phrases to predicates using a knowledge base and a large text corpus. Second, we use a… CONTINUE READING
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