The Value of Semantic Parse Labeling for Knowledge Base Question Answering

@inproceedings{Yih2016TheVO,
  title={The Value of Semantic Parse Labeling for Knowledge Base Question Answering},
  author={Wen-tau Yih and Matthew Richardson and Christopher Meek and Ming-Wei Chang and Jina Suh},
  booktitle={ACL},
  year={2016}
}
We demonstrate the value of collecting semantic parse labels for knowledge base question answering. In particular, (1) unlike previous studies on small-scale datasets, we show that learning from labeled semantic parses significantly improves overall performance, resulting in absolute 5 point gain compared to learning from answers, (2) we show that with an appropriate user interface, one can obtain semantic parses with high accuracy and at a cost comparable or lower than obtaining just answers… CONTINUE READING
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