Graphical systems and methods for human-in-the-loop machine intelligence

a technology of human-in-the-loop machine intelligence and graphical systems, applied in computing models, web data retrieval, instruments, etc., can solve the problems of inability to efficiently obtain computer modeling tools without the aid of computer modeling tools, difficulty and time-consuming for humans, and delay in broad appreciation of what the creators of such communications may be expressing. to achieve the effect of improving the accuracy of the model

Inactive Publication Date: 2016-06-09
100 CO GLOBAL HLDG LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0020]In some embodiments, the annotation agreement interface includes a per document agreement list displaying information such as which documents received the highest agreement or which documents received the lowest agreement. A user o...

Problems solved by technology

It is difficult and time consuming for a human to integrate or recognize trends within these various communication formats with the volume of content involved in each, and any broad appreciation for what the creators of such communications may be expressing is therefore delayed.
Recognizing trends or underlying meanings across the vast number of human communication sources, and appropriately categoriz...

Method used

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  • Graphical systems and methods for human-in-the-loop machine intelligence
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  • Graphical systems and methods for human-in-the-loop machine intelligence

Examples

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Embodiment Construction

[0047]The following detailed description should be read with reference to the drawings when appropriate, in which identical reference numbers refer to like elements throughout the different figures. The drawings, which are not necessarily to scale, depict selective embodiments and are not intended to limit the scope of the invention. The detailed description illustrates by way of example, not by way of limitation, the principles of the invention. This description will clearly enable one skilled in the art to make and use the invention, and describes several embodiments, adaptations, variations, alternatives and uses of the invention, including what is presently believed to be the best mode of carrying out the invention. As used in this specification and the appended claims, the singular forms “a,”“an,” and “the” include plural referents unless the context clearly indicates otherwise.

[0048]Examples merely demonstrate possible variations. Unless explicitly stated otherwise, components...

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Abstract

Methods and systems are disclosed for creating and linking a series of interfaces configured to display information and receive confirmation of classifications made by a natural language modeling engine to improve organization of a collection of documents into an hierarchical structure. In some embodiments, the interfaces may display to an annotator a plurality of labels of potential classifications for a document as identified by a natural language modeling engine, collect annotated responses from the annotator, aggregate the annotated responses across other annotators, analyze the accuracy of the natural language modeling engine based on the aggregated annotated responses, and predict accuracies of the natural language modeling engine's classifications of the documents.

Description

CROSS REFERENCES TO RELATED APPLICATIONS[0001]This application claims the benefits of U.S. Provisional Application 62 / 089,736, filed Dec. 9, 2014, and titled, “METHODS AND SYSTEMS FOR ANNOTATING NATURAL LANGUAGE PROCESSING,” U.S. Provisional Application 62 / 089,742, filed Dec. 9, 2014, and titled, “METHODS AND SYSTEMS FOR IMPROVING MACHINE PERFORMANCE IN NATURAL LANGUAGE PROCESSING,” U.S. Provisional Application 62 / 089,745, filed Dec. 9, 2014, and titled, “METHODS AND SYSTEMS FOR IMPROVING FUNCTIONALITY IN NATURAL LANGUAGE PROCESSING,” and U.S. Provisional Application 62 / 089,747, filed Dec. 9, 2014, and titled, “METHODS AND SYSTEMS FOR SUPPORTING NATURAL LANGUAGE PROCESSING,” the disclosures of which are incorporated herein by reference in their entireties and for all purposes.[0002]This application is also related to U.S. non provisional applications (Attorney Docket No. 1402805.00006_IDB006), titled “METHODS FOR GENERATING NATURAL LANGUAGE PROCESSING MODELS,” (Attorney Docket No. 1...

Claims

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Application Information

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IPC IPC(8): G06F17/24G06F3/0482
CPCG06F3/0482G06F17/241G06Q50/01G06F16/35G06F16/93G06F16/288G06F16/367G06F16/3329G06F40/169G06F40/30G06F16/243G06F16/285G06F16/951G06F16/24532G06F40/40G06F40/42G06F40/137G06F40/221G06N20/00
Inventor MUNRO, ROBERT J.WALKER, CHRISTOPHERLUGER, SARAH K.BRENIER, JASONTEPPER, PAUL A.MECHANIC, ROSSGILCHRIST-SCOTT, ANDREWKING, GARY C.CALLAHAN, BRENDAN D.SCHNOEBELEN, TYLER J.NUNEZ, EDGARMOST, HALEY
Owner 100 CO GLOBAL HLDG LLC
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