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Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance Model
We also show that pretraining the QE module with auto-generated QE data from user logs can further improve the overall performance.
Gated Group Self-Attention for Answer Selection
Nevertheless, it is difficult for RNN based models to capture the information about long-range dependency among words in the sentences of questions and answers.
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