A Fast Unified Model for Parsing and Sentence Understanding

@article{Bowman2016AFU,
  title={A Fast Unified Model for Parsing and Sentence Understanding},
  author={Samuel R. Bowman and Jon Gauthier and Abhinav Rastogi and Raghav Gupta and Christopher D. Manning and Christopher Potts},
  journal={CoRR},
  year={2016},
  volume={abs/1603.06021}
}
Tree-structured neural networks exploit valuable syntactic parse information as they interpret the meanings of sentences. However, they suffer from two key technical problems that make them slow and unwieldy for large-scale NLP tasks: they can only operate on parsed sentences and they do not directly support batched computation. We address these issues by introducing the Stackaugmented Parser-Interpreter Neural Network (SPINN), which combines parsing and interpretation within a single… CONTINUE READING
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