发明名称 System and method for machine learning management
摘要 According to one aspect, a method for machine learning management is provided. In one embodiment, the method includes receiving a first segment of text data, identifying data features corresponding to a sequence of characters in the first segment of text data, and generating predictive annotations to the sequence of characters based at least in part on the identified data features. The method can also include identifying inaccurate annotations generated according to the predictive annotations, correcting the identified inaccurate annotations, generating one or more sets of model training data incorporating the corrected annotations, and monitoring progress of annotations made to a second segment of text data associated with the first segment of text data by a plurality of collaborating users of a plurality of managed computers.
申请公布号 US9058317(B1) 申请公布日期 2015.06.16
申请号 US201414444326 申请日期 2014.07.28
申请人 Digital Reasoning Systems, Inc. 发明人 Gardner James Johnson;Clausing Terrence Scot;Michalak Phillip Daniel;Bunting Jared William;Massey Keith Ellis
分类号 G06F17/00;G06F17/24;G06N99/00 主分类号 G06F17/00
代理机构 Troutman Sanders LLP 代理人 Troutman Sanders LLP ;Schneider Ryan A.;Glass Christopher W.
主权项 1. A computer-implemented method, comprising: receiving a first segment of text data, identifying data features corresponding to a sequence of characters in the first segment of text data, generating predictive annotations to the sequence of characters based at least in part on the identified data features, identifying inaccurate annotations generated according to the predictive annotations, correcting the identified inaccurate annotations, generating at least one set of model training data incorporating the corrected annotations, and monitoring progress of annotations made to a second segment of text data associated with the first segment of text data by a plurality of collaborating users of a plurality of managed computers, the monitoring including determining, based at least in part on a training descriptor corresponding to the second segment of text data, a state of completion of annotations made to the second segment of text data by a particular one of the plurality of collaborating users, wherein the training descriptor identifies types of annotations in the at least one set of model training data.
地址 Franklin TN US