MGRC: An End-to-End Multigranularity Reading Comprehension Model for Question Answering
Deep neural network-based models have achieved great success in extractive question answering. Recently, many works have been proposed to model multistage matching for this task, which usually first retrieve relevant paragraphs or sentences and then extract an answer span from the retrieved results....
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Veröffentlicht in: | IEEE transaction on neural networks and learning systems 2023-05, Vol.34 (5), p.2594-2605 |
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