In this paper, we propose to employ a parallelizable approximate variational inference algorithm for the CRF model.
Sep 17, 2020 � In this paper, we propose to employ a parallelizable approximate variational inference algorithm for the CRF model.
AINs approximate the CRF inference steps. Instead of Forward-backward algorithm and Viterbi algorithm that requires sequential compuation over the input�...
Dec 1, 2020 � AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network � Accepted Papers by Program Chairs • AIN: Fast and Accurate Sequence�...
AIN: Fast and Accurate Sequence Labeling with Approximate Inference Network ... An Exploration of Arbitrary-Order Sequence Labeling via Energy-Based Inference�...
This paper designs an approximate inference network that can be connected with the encoder of the neural CRF model to form an end-to-end network,�...
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The linear-chain Conditional Random Field (CRF) model is one of the mostwidely-used neural sequence labeling approaches. Exact probabilistic�...
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The linear-chain Conditional Random Field (CRF) model is one of the most widely-used neural sequence labeling approaches. Exact probabilistic inference�...