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- W2794092562 abstract "Answer selection is an important subtask in open-domain question answering (QA) system, which mainly models for question and answer pairs. In this paper, we first develop a basic framework based on bidirectional long short term memory (Bi-LSTM), and then we extract lexical and topic features in question and answer respectively, finally, we append these features to Bi-LSTM models. Our models experiment on WikiQA dataset, Experimental results show that our models get a slight improvement compared to other published state of the art results." @default.
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- W2794092562 date "2017-12-01" @default.
- W2794092562 modified "2023-09-24" @default.
- W2794092562 title "Combine multi-features with deep learning for answer selection" @default.
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- W2794092562 doi "https://doi.org/10.1109/ialp.2017.8300553" @default.
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