Improving Semantic Parsing via Answer Type Inference

@inproceedings{Yavuz2016ImprovingSP,
  title={Improving Semantic Parsing via Answer Type Inference},
  author={Semih Yavuz and Izzeddin Gur and Yu Su and Mudhakar Srivatsa and Xifeng Yan},
  booktitle={EMNLP},
  year={2016}
}
In this work, we show the possibility of inferring the answer type before solving a factoid question and leveraging the type information to improve semantic parsing. By replacing the topic entity in a question with its type, we are able to generate an abstract form of the question, whose answer corresponds to the answer type of the original question. A bidirectional LSTM model is built to train over the abstract form of questions and infer their answer types. It is also observed that if we… CONTINUE READING