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ACTIVE LEARNING ANNOTATION SYSTEM THAT DOES NOT REQUIRE HISTORICAL DATA

机译:不需要历史数据的主动学习注释系统

摘要

In various embodiments, a process for providing an active learning annotation system that does not require historical data includes receiving a stream of unlabeled data, identifying a portion of the unlabeled data to label without access to label information, and receiving a labeled version of the identified portion of the unlabeled data and storing the labeled version as labeled data. The process includes analyzing the labeled version and at least a portion of the received unlabeled data that has not been labeled to identify an additional portion of the unlabeled data to label and store in the labeled data including by applying at least one warm up policy.
机译:在各种实施例中,用于提供不需要历史数据的主动学习注释系统的过程包括接收未标记数据流,识别未标记数据的一部分以进行标记而不访问标签信息,以及接收未标记数据的已识别部分的标记版本并将标记版本存储为标记数据。该过程包括分析标记版本和未标记的至少一部分接收到的未标记数据,以识别要标记的未标记数据的附加部分,并将其存储在标记数据中,包括应用至少一个预热策略。

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