Edward Wild resumes & CV records
Resumes
Edward W Wild, 45Bothell, WA
Edward Wild Phones & Addresses
Bothell, WA
Seattle, WA
Scotts Valley, CA
Madison, WI
1800 Walsh Dr, Round Rock, TX 78681
Austin, TX
Kiona, WA
920 Hawks Hill Rd, Scotts Valley, CA 95066
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Edward W Wild
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Wikipedia
Edward A. Wild
Edward Augustus Wild (November 25, 1825 August 28, 1891) was an American homeopathic doctor and a brigadier general in the Union Army during the ...
Us Patents
Framework For Document Knowledge Extraction
US Patent:
2013024, Sep 19, 2013
Filed:
Mar 14, 2012
Appl. No.:
13/419690
Inventors:
Jun Yan - Beijing, CN
Lei Ji - Beijing, CN
Edward W. Wild - Seattle WA, US
Yi Li - Issaquah WA, US
Ning Liu - Beijing, CN
Zheng Chen - Beijing, CN
Lei Ji - Beijing, CN
Edward W. Wild - Seattle WA, US
Yi Li - Issaquah WA, US
Ning Liu - Beijing, CN
Zheng Chen - Beijing, CN
Assignee:
MICROSOFT CORPORATION - Redmond WA
International Classification:
G06F 17/30
US Classification:
707741, 707736, 707748, 707E17002, 707E17046
Abstract:
A knowledge extraction framework may iteratively enrich an ontology that is used to classify structured knowledge obtained from web pages based on structured knowledge previously acquired from other web pages. The framework may enable a user to define the ontology for extracting structured knowledge from a plurality of web pages. The framework applies the ontology using a supervised extraction algorithm to extract seed information from a set of web pages. The framework further applies an unsupervised extraction algorithm to extract the structured knowledge from an additional set of web pages. The framework subsequently maps the structured knowledge to the ontology based on the seed information to enrich the ontology.
Automatic Detection And Extraction Of Web Page Data Based On Visual Layout
US Patent:
2021000, Jan 7, 2021
Filed:
Jul 2, 2019
Appl. No.:
16/459783
Inventors:
- Redmond WA, US
Edward Woodrow WILD - Bothell WA, US
Junaid AHMED - Bellevue WA, US
Edward Woodrow WILD - Bothell WA, US
Junaid AHMED - Bellevue WA, US
Assignee:
Microsoft Technology Licensing, LLC - Redmond WA
International Classification:
G06F 17/22
G06F 17/24
G06K 9/00
G06F 17/21
G06F 17/27
G06K 9/68
G06F 16/958
G06F 17/24
G06K 9/00
G06F 17/21
G06F 17/27
G06K 9/68
G06F 16/958
Abstract:
A system and method for automatically detecting and extracting entity data from a web page is provided. The method may include detecting a pattern for an entity based on a visual layout of the web page. A region of the webpage corresponding to the pattern may be identified as including the entity data, where the entity data is in a semi-structured form. Within the region, properties associated with the entity may be detected, annotations for the properties may be determined, and a category for the entity may be identified, where the properties, annotations, and category may be used to construct a schema for a structured form of the entity data. A template may be generated based on the schema and applied to the web page to extract the entity data in the structured form.
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