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SYMBOLIC PRIORS FOR RECURRENT NEURAL NETWORK BASED SEMANTIC PARSING
SYMBOLIC PRIORS FOR RECURRENT NEURAL NETWORK BASED SEMANTIC PARSING
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机译:基于递归神经网络的语义解析的符号优先级
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摘要
Methods, systems, and devices for semantic parsing. In an example embodiment, a method for semantic parsing can include steps, operations, or instructions such as obtaining a data pair for learning, the data pair comprising logical form data and natural utterance data; acquiring grammar for targeted logical forms among the logical form data of the data pair; modeling data comprising other available prior knowledge utilizing WFSA (Weighted Finite State Automata); combining with the targeted logical forms with the data modeled comprising the other available prior knowledge to form a background; and exploiting the background on the data pair. Note that we do not “learn” the background, but “learn” the background-RNN (Recurrent Neural Network).
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