EFFICIENT GLOBALLY OPTIMAL INTERPRETATION OF DOCUMENTS

Patent №

US 8,972,425

Granted

2015-03-03

Filed 2013

Owner

PALO ALTO RESEARCH CENTER INCORPORATED

Lab

AI components

4

nlp · vision · planning · evo

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13799568

A method is provided for parsing a document having a plurality of lines on which items are listed spanning one or more lines. It includes: obtaining a plurality of candidates, representing hypothetical items within the document, each candidate spanning one or more lines and having a local cost representing a confidence in a quality of the candidate compared to a model; determining labeling costs for intervals of the document defined between pairs of lines, each interval containing candidates therein, each labeling cost reflecting a configuration of the candidates within the interval; identifying a best labeling for each interval based on the labeling costs determined for that interval, the best labeling corresponding to one of the configurations of the candidates within the interval; defining a global objective function; and selecting a subset of the candidates such that the global objective function is optimized, based on the identified best labelings.

AI classification

Natural language1.00
Vision0.99
Planning0.84
Evolutionary computation0.56
Machine learning0.42
Knowledge representation0.33
AI hardware0.08
Speech0.00

Ownership

PALO ALTO RESEARCH CENTER INCORPORATED

assignment · 299840395

Assignors

PAVLOPOULOU, CHRISTINA, BART, EVGENIY, SAUND, ERIC

On an employer assignment, the assignors are typically the inventors.

From the same owner

© 2026 NYSGPT2525 LLC