METHODS AND SYSTEMS FOR CROWDSOURCING A TASK

Patent №

US 9,710,769

Granted

2017-07-18

Filed 2014

Owner

XEROX CORPORATION

Lab

AI components

6

ml · nlp · vision · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14231773

The disclosed embodiments illustrate methods and systems for crowdsourcing a task. The method includes extracting one or more components from at least one task based on a task category associated with the at least one task. Each component corresponds to a part of the at least one task, that requires an input from a crowdworker. Further, the one or more components are categorized in a set of first categories, each of which includes similar components, and a second category that includes dissimilar components. The categorization is based on a comparison between content of each of component, and the task category. Thereafter, a representative component from at least one category from the set of first categories, and at least one component from the second category are combined to create the task. The task, so created, is crowdsourced to one or more crowdworkers.

AI classification

Natural language1.00
Planning1.00
Knowledge representation1.00
Machine learning0.92
Vision0.89
AI hardware0.89
Speech0.02
Evolutionary computation0.00

Ownership

XEROX CORPORATION

assignment · 325710942

Assignors

KARANAM, SARASCHANDRA , ,, BALAMURUGAN, CHITHRALEKHA , ,, GUPTA, NEHA , ,, PIRATLA, NISCHAL MURTHY, ,

On an employer assignment, the assignors are typically the inventors.

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