Relativity Oda LLC

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Robert Jenson Price

Brandon Gauthier

Elise Tropiano

Patricia Ann Gleason

Jesse Allan Winkler

Theo Van Wijk

Dennis Chau

William Webber

A computer-implemented method stratified elusion includes selecting hypothetical cutoff ranks when a stopping point is reached, calculating for each respective cutoff rank a recall value, elusion value, and remaining count; and displaying each respective cutoff rank, recall value, elusion value, and remaining count. A stratified elusion system includes a processor and a memory storing instructions that, when executed, cause the system to select cutoff ranks when a stopping point is reached, calculate for each respective cutoff rank a recall value, elusion value, and remaining count; and display each respective cutoff rank, recall value, elusion value, and remaining count. A non-transitory computer readable medium storing program instructions that when executed, cause a computer system to select cutoff ranks when a stopping point is reached, calculate for each respective cutoff rank a recall value, elusion value, and remaining count; and display each respective cutoff rank, recall value, elusion value, and remaining count.

Methods and systems for facilitating stratified elusion and recall

A computer-implemented method includes based on a calculated first estimated error rate, second estimated error rate, first uncertain rank count, second uncertain rank count, and target error rate, displaying a stopping point indication. A computing system includes a processor; and a memory storing instructions that, when executed, cause the computing system to: based on a calculated first estimated error rate, second estimated error rate, first uncertain rank count, second uncertain rank count, and target error rate, display a stopping point indication. A non-transitory computer readable medium includes program instructions that when executed, cause a computer system to: based on a calculated first estimated error rate, second estimated error rate, first uncertain rank count, second uncertain rank count, and target error rate, display a stopping point indication.

Methods and systems for determining stopping point

A active learning family-based review method includes selecting a document ranked as relevant by a machine learning model, identifying family documents relationally-linked to the ranked relevant document, generating a batch including the ranked relevant document adjacent to the family documents, and displaying the batch in a computing device. An active learning family-based review computing system includes a processor and a memory storing instructions that, when executed, cause the computing system to select a relevant document using machine learning, identify family documents, generate a batch including the relevant document adjacent to the family documents, and display the batch. A non-transitory computer readable medium stores program instructions that when executed, cause a computer system to select a relevant document using machine learning, identify family documents, generate a batch including the relevant document adjacent to the family documents, and display the batch.

Methods and systems for facilitating family-based review

A computer-implemented method for identifying a stopping point of an active learning process includes calculating an error rate for a set of documents, determining whether minimum coding exists, checking an error rate, detecting that an uncertainty rate decreases, and displaying an indication that the stopping point has been reached. A computing system for determining a stopping point of an active learning process includes a processors and a memory storing instructions that, when executed, cause the computing system to calculate an error rate, determine that minimum coding exists, check an error rate, detect decreasing uncertainty rate, and display a stopping point indication. A non-transitory computer readable medium storing program instructions that when executed, cause a computer system to calculate an error rate, determine that minimum coding exists, check an error rate, detect decreasing uncertainty rate, and display a stopping point indication.

A method for efficiently grouping electronic documents that are likely textual near-duplicates includes processing first and second electronic documents to determine respective sets of character sequence counts. The processing includes, for each document, (1) identifying non-contiguous character sequences expressed within the document text, with each character sequence corresponding to a different starting position within the text and including at least a first character at the respective starting position and a second character at a pre-defined offset from the respective starting position, and (2) determining character sequence counts for each unique character sequence within the identified character sequences. The method also includes generating one or more similarity metrics, at least by comparing the sets of character sequence counts determined for the first and second electronic documents. The method may also include assigning, based on the similarity metric(s), the second electronic document to a same document group as the first electronic document.

System and method for textual near-duplicate grouping of documents

A method for efficiently grouping electronic documents that are likely textual near-duplicates includes processing first and second electronic documents to determine respective sets of character sequence counts. The processing may include, for each document, identifying a plurality of non-contiguous character sequences expressed within the document text, with each character sequence including at least one character from each of at least two different words in the text, and determining character sequence counts for each unique character sequence within the identified character sequences. The method also includes generating one or more similarity metrics, at least by comparing the sets of character sequence counts determined for the first and second electronic documents. The method may also include using the similarity metric(s) to calculate a similarity score, and assigning, based on the similarity score, the second electronic document to a same document group as the first electronic document.

The disclosure relates to outdoor furniture, particularly chairs and the like, provided with removable weather protection. A unitary chair body is provided, typically of molded plastic, to form integral seat, back, side and armrest portions. The chair body is of a generally weather-tight construction on the bottom, back and sides. Weather protection from the top and front is provided by means of a removable weather cover, which extends generally from the upper edge of the chair back to the front edge of the chair bottom and extends from one armrest to the other to completely cover the main recess of the chair. The weather cover is of a self-supporting construction, and both the chair and the cover are especially designed and especially adapted to accommodate the use of the cover in its closed position and also to provide for convenient storage of the cover when the chair is in use. The cover can take any of several forms, including a flat, rigid snap-on type, a tambour configuration, and a roll top configuration.

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Leesburg, VA, United States of America

Robert Jenson Price