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:
Sep. 06, 2016

Filed:

Apr. 04, 2014
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Patrick Pantel, Bellevue, WA (US);

Michael Gamon, Seattle, WA (US);

Ariel Damian Fuxman, San Francisco, CA (US);

Bernhard Kohlmeier, Seattle, WA (US);

Pradeep Chilakamarri, Redmond, WA (US);

Assignee:
Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2006.01); G06N 99/00 (2010.01); G06N 7/00 (2006.01); G06F 3/0484 (2013.01); G06F 17/30 (2006.01);
U.S. Cl.
CPC ...
G06N 99/005 (2013.01); G06F 3/04842 (2013.01); G06F 17/3053 (2013.01); G06F 17/3064 (2013.01); G06F 17/30637 (2013.01); G06F 17/30867 (2013.01); G06N 7/005 (2013.01); G06N 3/04 (2013.01);
Abstract

A text span forming either a single word or a series of two or more words that a user intended to select is predicted. A document and a location pointer that indicates a particular location in the document are received and input to different candidate text span generation methods. A ranked list of one or more scored candidate text spans is received from each of the different candidate text span generation methods. A machine-learned ensemble model is used to re-score each of the scored candidate text spans that is received from each of the different candidate text span generation methods. The ensemble model is trained using a machine learning method and features from a dataset of true intended user text span selections. A ranked list of re-scored candidate text spans is received from the ensemble model.


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