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METHOD AND APPARATUS FOR TEXTUAL QUESTION ANSWERING BASED ON NAMED ENTITIES, AND DEVICE AND STORAGE MEDIUM
METHOD AND APPARATUS FOR TEXTUAL QUESTION ANSWERING BASED ON NAMED ENTITIES, AND DEVICE AND STORAGE MEDIUM
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机译：基于命名实体的文本问题的方法和装置，以及设备和存储介质
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摘要
A method and an apparatus for textual question answering based on named entities, and a device and a storage medium, the method comprising: receiving a query text input by a user, performing named entity recognition on the query text to obtain an entity text set (S1); acquiring a question and answer corpus, and performing named entity recognition and named entity division on the question and answer corpus to obtain a plurality of question and answer sub-corpora (S3); extracting question and answer corpus sub-sets related to the query text from the plurality of question and answer sub-corpora to form an answer text set, and performing partitioning and encoding operations on the answer text set to obtain an encoded question and answer set (S3); and inputting the encoded question and answer set into a trained deep learning question answering model to obtain an answer text for the query text (S4). The method is able to solve the problems of large computation volume and poor answer results in textual answering processes.
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