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- W3149392310 abstract "A common solution of automatic question-answering (QA) systems is retrieving the most similar question for a given user query from a QA knowledge base. Even though some models have got promising performance on this task, it may be hard for them to achieve a balance between accuracy and efficiency. In this paper, we propose an enhanced convolutional inference model with StructBert distillation, called StructBert-ECIM, to achieve such balance." @default.
- W3149392310 created "2021-04-13" @default.
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- W3149392310 date "2021-01-01" @default.
- W3149392310 modified "2023-10-16" @default.
- W3149392310 title "An Enhanced Convolutional Inference Model with Distillation for Retrieval-Based QA" @default.
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- W3149392310 doi "https://doi.org/10.1007/978-3-030-73200-4_35" @default.
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