DAVID E EVANS
Vehicle Board in Pittsburgh, PA

2008029, Nov 27, 2008

May 25, 2007

11/807007

Yan Qu - Cupertino CA, US
David A. Evans - Pittsburgh PA, US
Ilya M. Goldin - Pittsburgh PA, US

G06F 17/00, G06F 17/20, G06K 9/62

703 6, 382161, 382225, 704 1

A method of automatically constructing a model of an activity from an unsupervised examination of a plurality of textual documents describing the activity is comprised of: extracting prototypical steps from the plurality of textual documents; sequencing the extracted steps; aligning the sequenced steps; and constructing the model based on the aligned steps. The model may take the form of a step vs. position matrix which identifies the prototypical steps that make up the activity and provides the probability of each step occupying each position within the activity. The model thus constitutes common sense knowledge that encodes the stereotypical steps of an activity and the stereotypical sequencing of the steps.

5987448, Nov 16, 1999

Jul 25, 1997

8/900640

David A. Evans - Pittsburgh PA
Michael J. McInerny - Pittsburgh PA

Claritech Corporation - Pittsburgh PA

G06F 1730

707 3

Document texts are produced by recognizing characters in document images by an Optical Character Recognition (OCR) process. When such a document text matches one or more search terms of a query, the corresponding document image is displayed. Regions of the document image, corresponding to words of the document text that match the search terms, are displayed in a visually distinctive manner. The display of the document image may be augmented by displaying a region corresponding to a reference text within the document text in another visually distinctive manner.

5926808, Jul 20, 1999

Jul 25, 1997

8/900639

David A. Evans - Pittsburgh PA
Michael J. McInerny - Pittsburgh PA

Claritech Corporation - Pittsburgh PA

G06F 1730

707 3

The system of the present invention provides for a method and apparatus of displaying portions of text from multiple documents over multiple databases related to a search query. The initial step in this method is to identify a search query. Based on this identification, a search against multiple databases is initiated. In particular, the computer system identifies auxiliary databases either within a network or between networks that are likely to contain documents relating to terms in the search query. Upon identification of these databases, the databases are then searched to identify those documents relating to the identified query. The various sets of identified documents from multiple databases are then returned and processed to create an ordered ranking for the returned documents. Text portions from the highest ranking documents across the multiple databases are then automatically displayed to the user.

6029167, Feb 22, 2000

Jul 25, 1997

8/900784

David A. Evans - Pittsburgh PA

Claritech Corporation - Pittsburgh PA

G06F 1700

707 4

A method and apparatus for retrieving similar or identical textual passages among different documents is disclosed. Normal discourse structures along with textual content attributes are used to encode a known passage with "marker sequences" that give a characterizing "signature" to the passage. The encoded known passage is then evaluated against similarly encoded passages appearing in a database of documents. If it is determined that there is a possible match between the encoded known passage and an encoded passage in a database document, a sequential string search is performed to determine whether the two passages are likely to be similar or identical. If the sequential string search records a probable match between the known passage and the database passage, the database passage is displayed for further review.

7472131, Dec 30, 2008

Dec 12, 2005

11/298500

James G. Shanahan - San Francisco CA, US
Norbert Roma - Pittsburgh PA, US
David A. Evans - Pittsburgh PA, US

JustSystems Evans Research, Inc. - Pittsburgh PA

G06F 7/00, G06F 17/00, G06F 17/30

707101, 707 5

A computer-readable medium comprises data structure for providing information about levels of similarity between pairs of N documents. The data structure comprises a plurality of entries of similarity values representing levels of similarity for a plurality of pairs of the documents. Each of the similarity values represents a level of similarity of one document of a given pair relative to the other document of the given pair. The similarity value of each entry is greater than a threshold similarity value that is greater than zero. The plurality of similarity-value entries are fewer than N−N in number if the similarity values are asymmetric with regard to document pairing, and the plurality of similarity-value entries are fewer than.

2003022, Dec 4, 2003

Mar 13, 2003

10/387747

David Evans - Pittsburgh PA, US
Michael McInerny - Pittsburgh PA, US

G06F007/00

707/003000

The system of the present invention provides for a method and apparatus of displaying portions of text from multiple documents over multiple databases related to a search query. The initial step in this method is to identify a search query. Based on this identification, a search against multiple databases is initiated. In particular, the computer system identifies auxiliary databases either within a network or between networks that are likely to contain documents relating to terms in the search query. Upon identification of these databases, the databases are then searched to identify those documents relating to the identified query. The various sets of identified documents from multiple databases are then returned and processed to create an ordered ranking for the returned documents. Text portions from the highest ranking documents across the multiple databases are then automatically displayed to the user.

2007011, May 17, 2007

Nov 15, 2005

11/272784

David Evans - Pittsburgh PA, US
Victor Sheftel - Bethel Park PA, US
Jeffrey Bennett - Pittsburgh PA, US
David Hull - Pittsburgh PA, US

Clairvoyance Corporation - Pittsburgh PA

G06F 17/30

707200000

A method for identifying clusters of similar documents from among a set of documents is described. A particular document is selected based on rank from among a ranked set of documents, wherein the ranked set of documents are included among available documents of the set of documents. A probe is generated based on the particular document. The probe comprising one or more features. Documents that satisfy a similarity condition are found from among the available documents using a search based upon the probe. Some or all documents found are associated with a particular cluster of documents. The process can be repeated to generate further clusters. The method can be implemented with a computer, and associated programming instructions can be contained within a compute readable carrier.

6055528, Apr 25, 2000

Jul 25, 1997

8/900642

David A. Evans - Pittsburgh PA

Claritech Corporation - Pittsburgh PA

G06F 1730

707 3

The present invention provides a method and apparatus for retrieving documents that are stored in a language other than the language that is used to formulate a search query. This invention decomposes the query into terms and then translates each of the terms into terms of the language of the database. Once the database language terms have been listed, a series of subqueries is formed by creating all the possible combinations of the listed terms. Each subquery is then scored on each of the documents in the target language database. Only those subqueries that return meaningful scores are relevant to the query. Thus, the semantic meaning of the query is determined against the database itself and those documents in the database language that are most relevant to that semantic meaning are returned.

6226631, May 1, 2001

Sep 3, 1999

9/390247

David A. Evans - Pittsburgh PA

Claritech Corporation - Pittsburgh PA

G06F 1730

707 3

An document image that is the source of Optical Character Recognition (OCR) output is displayed so that a user can select a region of the displayed document image. When the region is selected, text of the OCR output corresponding to the selected region is submitted as an input to a search engine.