SoPa: Bridging CNNs, RNNs, and Weighted Finite-State Machines

CoRR, Volume abs/1805.06061, 2018.

Cited by: 10|Views59
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Abstract:

Recurrent and convolutional neural networks comprise two distinct families of models that have proven to be useful for encoding natural language utterances. In this paper we present SoPa, a new model that aims to bridge these two approaches. SoPa combines neural representation learning with weighted finite-state automata (WFSAs) to lear...More

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