SCALABLE ANNOTATION ARCHITECTURE

Methods, systems, and techniques for annotating large amounts of data are provided. Example embodiments provide a Scalable Annotation Architecture (a "SAS"), which builds predictive models for an annotation from the ground up, without knowledge of the data. The SAS operates by performing i...

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Bibliographische Detailangaben
Hauptverfasser:	Leslie-Cook Ayn, Kypreos Theodore Nicholas, Kroll Jason, Dhillon Navdeep Singh, Szeto-Millstone Marc
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	Methods, systems, and techniques for annotating large amounts of data are provided. Example embodiments provide a Scalable Annotation Architecture (a "SAS"), which builds predictive models for an annotation from the ground up, without knowledge of the data. The SAS operates by performing in an iterative fashion a process that seeds training data and hypothesizes a predictive model based upon that data, then sends samples of the data to a crowdsourcing environment to provide selective verification. This process is repeated iteratively until a desired precision is reached and then the model is employed independently in a production system. In one embodiment, the SAS is used to annotate data provided by an open data platform.