首页|Patent Issued for Machine learning based classification and annotation of paragr aph of resume document images based on visual properties of the resume document images, and methods and apparatus for the same (USPTO 12008304)
Patent Issued for Machine learning based classification and annotation of paragr aph of resume document images based on visual properties of the resume document images, and methods and apparatus for the same (USPTO 12008304)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – From Alexandria, Virginia, NewsRx jour nalists report that a patent by the inventors Mihai, Adrian (Dublin, IE), O’Gorm an, Eoin (London, GB), filed on May 6, 2022, was published online on June 11, 20 24. The patent’s assignee for patent number 12008304 is iCIMS Inc. (Holmdel, New Jer sey, United States). News editors obtained the following quote from the background information suppli ed by the inventors: “Classification of paragraphs of resume documents can be us eful in many applications. For example, classification of paragraphs of resume d ocuments can be helpful for a company’s human resources team, a networking socia l platform, and/or the like. Known methods of classification of paragraphs of re sume documents, however, are labor-intensive and can be costly. Current approach es used in parsing of information in unstructured text rely on rules-based mecha nisms that are sensitive to technical domains, language and spelling errors, and rely on long lists of binary comparisons that are run against pre-defined sets of ad-hoc rules on top of customized taxonomies and vocabularies. Such methods a nd devices do not scale well and reach their limits when a use context is change d or shifted (e.g., from resume parsing to job-description parsing), used in a d ifferent language, used on a new industrial field, spelling errors or disambigua tion occurs, and/or the like.
BusinessCyborgsEmerging TechnologiesMachine LearningOptical Character RecognitioniCIMS Inc