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A Fast Unified Model for Parsing and Sentence Understanding
[article]
2016
arXiv
pre-print
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 usually operate on parsed sentences and they do not directly support batched computation. We address these issues by introducing the Stack-augmented Parser-Interpreter Neural Network (SPINN), which combines parsing and interpretation within a single
arXiv:1603.06021v3
fatcat:oejlz7jolrhc5gg2yeljl23rcm