Anne C Kao

US Patent:

6701305, Mar 2, 2004

Filed:

Oct 20, 2000

Appl. No.:

09/693114

Inventors:

Fredrick Baden Holt - Seattle WA
Anne Shu-Wan Kao - Bellevue WA
Daniel John Pierce - Woodinville WA
Stephen Robert Poteet - Bellevue WA
Yuan-Jye Wu - Issaquah WA

Assignee:

The Boeing Company - Seattle WA

International Classification:

G06F 1700

US Classification:

706 45, 706 12, 706 46

Abstract:

Methods, apparatus and computer program products are provided for retrieving information from a text data collection and for classifying a document into none, one or more of a plurality of predefined classes. In each aspect, a representation of at least a portion of the original matrix is projected into a lower dimensional subspace and those portions of the subspace representation that relate to the term(s) of the query are weighted following the projection into the lower dimensional subspace. In order to retrieve the documents that are most relevant with respect to a query, the documents are then scored with documents having better scores being of generally greater relevance. Alternatively, in order to classify a document, the relationship of the document to the classes of documents is scored with the document then being classified in those classes, if any, that have the best scores.

US Patent:

7403932, Jul 22, 2008

Filed:

Jul 1, 2005

Appl. No.:

11/173600

Inventors:

Anne S-W Kao - Bellevue WA, US
Stephen R. Poteet - Bellevue WA, US
Yuan-Jye Wu - Issaquah WA, US
William Ferng - Sammamish WA, US
Robert E. Cranfill - Seattle WA, US

Assignee:

The Boeing Company - Chicago IL

International Classification:

G06N 5/00

US Classification:

706 45, 706 47

Abstract:

Provided are improved methods, apparatus, and computer program products for text differentiation which involves identifying differences between documents with similar content, not merely similar terms, and generating results. Text differentiation provides the ability to find non-similar, or different, content hidden within documents with similar overall content, but not exactly the same content. Text differentiation may be used to quickly identify key differences between similar documents.

US Patent:

7752204, Jul 6, 2010

Filed:

Nov 18, 2005

Appl. No.:

11/281499

Inventors:

Anne S-W Kao - Bellevue WA, US
Stephen R. Poteet - Bellevue WA, US
Yuan-Jye Wu - Issaquah WA, US
William Ferng - Sammamish WA, US
Robert E. Cranfill - Seattle WA, US

Assignee:

The Boeing Company - Chicago IL

International Classification:

G06F 7/00
G06F 17/30

US Classification:

707736, 707772, 707917, 715254

Abstract:

A text summarizer identifies relevant terms in a document, weights the terms and extracts one or more segments to produce a summary or abstract. The various terms in a particular are weighted in relation to an existing document collection. A term weight computer computes term weights for terms in the document, and a threshold comparator compares the term weights to determine if the corresponding terms are relevant to the document collection. Next, a term weight summer adds the term weights for each occurrence of each relevant term in the various segments of the document, and a summation comparator compares the summations to identify a text summarization segment representative of the document. Optionally, relevant terms can be highlighted in the term summarization segment.

US Patent:

7831597, Nov 9, 2010

Filed:

May 4, 2006

Appl. No.:

11/417196

Inventors:

Yuan-Jye Wu - Issaquah WA, US
Anne S-W Kao - Bellevue WA, US
Stephen R. Poteet - Bellevue WA, US
William Ferng - Sammamish WA, US
Robert E. Cranfill - Seattle WA, US

Assignee:

The Boeing Company - Chicago IL

International Classification:

G06F 7/00
G06F 17/30

US Classification:

707736, 707772, 707917, 715254

Abstract:

A text summarizer identifies relevant terms in a document, weights the terms and extracts one or more segments to produce a summary or abstract. The various terms in a particular are weighted in relation to an existing document collection. A term weight computer computes term weights for terms in the document, and a threshold comparator compares the term weights to determine if the corresponding terms are relevant to the document collection. Next, a term weight summer adds the term weights for each occurrence of each relevant term in the various segments of the document, and a summation comparator compares the summations to identify a text summarization segment representative of the document. Optionally, relevant terms can be highlighted in the term summarization segment.

US Patent:

8234279, Jul 31, 2012

Filed:

Oct 11, 2005

Appl. No.:

11/246195

Inventors:

Yuan-Jye Wu - Issaquah WA, US
Anne S-W Kao - Bellevue WA, US
Stephen R. Poteet - Bellevue WA, US
William Ferng - Sammamish WA, US
Robert E. Cranfill - Seattle WA, US

Assignee:

The Boeing Company - Chicago IL

International Classification:

G06F 7/00
G06F 17/00

US Classification:

707737, 707736, 707739, 706 45

Abstract:

A streaming text data comparator performs real-time text data mining on streaming text data. The comparator receives a streaming text data document and generates a vector representation of the term frequencies relating to an existing document collection. The comparator then transforms the term frequency vector into a projection in a precomputed multidimensional subspace that represents the original document collection. The comparator further calculates a relationship value representing the similarities or differences between the vector representation and the subspace, and compares the relationship value to a predetermined threshold to determine whether the streaming text data document is related to the original document collection. If the streaming text data document is related, the streaming text data comparator intercalates the new document into the document collection. If the new document is not related, the comparator may store or delete the unrelated document.

US Patent:

8272064, Sep 18, 2012

Filed:

Nov 16, 2005

Appl. No.:

11/280610

Inventors:

Anne S-W Kao - Bellevue WA, US
Stephen R. Poteet - Bellevue WA, US
Nicholas J. Multari - Snoqualmie WA, US

Assignee:

The Boeing Company - Chicago IL

International Classification:

H04L 29/06

US Classification:

726 27

Abstract:

A system generates rules for classifying documents are generated by building a vocabulary of features (e. g. , words, phrases, acronyms, etc. ) that are related to classifying concepts. The system includes a security document reader receives a security document that defines security concepts for a particular project and parses the security document to separate the security concepts. A vocabulary builder receives samples provided by the user that contain information related to the project. For each security concept, the vocabulary builder uses statistical analysis techniques to find features in the samples that are related to that concept. A rule generation assistant, for each security concept, generates rules based on the built vocabulary and the samples. The rule generation assistant uses statistical analysis techniques on the vocabulary and samples to determine features that optimally predict a particular concept. The rules can be used by a downgrader to process information to be distributed.

US Patent:

8577884, Nov 5, 2013

Filed:

May 13, 2008

Appl. No.:

12/119697

Inventors:

Stephen R. Poteet - Bellevue WA, US
Anne Kao - Bellevue WA, US
Shan Luh - Kenmore WA, US

Assignee:

The Boeing Company - Chicago IL

International Classification:

G06F 17/30

US Classification:

707737, 707738, 707776

Abstract:

Technologies are described herein for providing automated analysis and summarization of free-form comments in survey response data. A number of topic words are identified from the survey response comments, and a numeric weight is calculated for each topic word that reflects the relevance of the topic word to each comment. Each topic word is associated with one or more topics and the comments relevant to each topic is then determined based on the weights of the associated topic words in each comment. A report is generated which summarizes the topics and their relative importance in the survey response comments based upon the number of comments relevant to each.

US Patent:

8046322, Oct 25, 2011

Filed:

Aug 7, 2007

Appl. No.:

11/835225

Inventors:

Changzhou Wang - Bellevue WA, US
Anne Kao - Bellevue WA, US
Jai J. Choi - Sammamish WA, US
Rodney A. Tjoelker - Bellevue WA, US

Assignee:

The Boeing Company - Chicago IL

International Classification:

G06F 17/30
G06F 17/00

US Classification:

706 48, 707776, 707756, 707778, 707792, 707796, 707694

Abstract:

A method of mining data to discover activity patterns within the data is described. The method includes receiving data to be mined from at least one data source, determining which of a number of specified interests and constraints are associated with the mining process, selecting corresponding mining agents that combine search algorithms with propagators from the specified constraints, and finding any activity patterns that meet the specified interests and constraints.