INCREMENTAL GENERATION OF WORD EMBEDDING MODEL

A system and method are provided to transform vectors from a first vector model resulting from a first text corpus and also to transform vectors from a second vector model resulting from a second textcorpus into a combined vector model. Advantageously, no access or retraining on the first text corpu...

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Hauptverfasser: LIN XIAO, SUBASIC PERO
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:A system and method are provided to transform vectors from a first vector model resulting from a first text corpus and also to transform vectors from a second vector model resulting from a second textcorpus into a combined vector model. Advantageously, no access or retraining on the first text corpus is required. 本公开涉及词嵌入模型的增量生成。提供了一种系统和方法,用于将来自由第一文本语料库产生的第一向量模型的向量以及来自由第二文本语料库产生的第二向量模型的向量变换到组合的向量模型。有利地,不需要对第一文本语料库进行访问或再训练。