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Multilabel learning via supervised joint embedding of documents and labels
Multilabel learning via supervised joint embedding of documents and labels
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机译:通过有监督的文档和标签联合嵌入进行多标签学习
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摘要
A method implemented by at least one server computer is provided, including the following operations: receiving a plurality of training documents, each training document being defined by a sequence of words, each training document having one or more labels associated therewith; embedding the training documents, the words, and the labels in a vector space, wherein the embedding is configured to locate a given training document and its associated labels in proximity to each other in the vector space; embedding a new document in the vector space; performing a proximity search in the vector space to identify a set of nearest labels to the new document in the vector space; associating the nearest labels to the new document.
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