The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 26, 2013

Filed:

Oct. 15, 2008
Applicants:

Jisheng Liang, Bellevue, WA (US);

Krzysztof Koperski, Seattle, WA (US);

Navdeep S. Dhillon, Seattle, WA (US);

Carsten Tusk, Seattle, WA (US);

Satish Bhatti, Seattle, WA (US);

Inventors:

Jisheng Liang, Bellevue, WA (US);

Krzysztof Koperski, Seattle, WA (US);

Navdeep S. Dhillon, Seattle, WA (US);

Carsten Tusk, Seattle, WA (US);

Satish Bhatti, Seattle, WA (US);

Assignee:

Evri Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 17/27 (2006.01);
U.S. Cl.
CPC ...
Abstract

Methods and systems for entity recognition and disambiguation using natural language processing techniques are provided. Example embodiments provide an entity recognition and disambiguation system (ERDS) and process that, based upon input of a text segment, automatically determines which entities are being referred to by the text using both natural language processing techniques and analysis of information gleaned from contextual data in the surrounding text. In at least some embodiments, supplemental or related information that can be used to assist in the recognition and/or disambiguation process can be retrieved from knowledge repositories such as an ontology knowledge base. In one embodiment, the ERDS comprises a linguistic analysis engine, a knowledge analysis engine, and a disambiguation engine that cooperate to identify candidate entities from a knowledge repository and determine which of the candidates best matches the one or more detected entities in a text segment using context information.


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