Other

Noema, Inc.

Prashant Parikh

Stanley Peters

A method preformed in a character entry system involves receiving user input and using a Generalized Lexicographic Ordering (GLO) process to determine an order for presentation of one or more completion candidates to a the user for selection.

Automatic dynamic contextual data entry completion

A method, performed in a character entry system, for interrelating character strings so that an incomplete input character string can be completed by selection of a presented character string involves computing relationship scores for individual character strings in the system from documents present in the character entry system, in response to inputting of a string of individual characters that exceeds a specified threshold, identifying at least one selectable character string from among contextual associations that can complete the input character string in context based upon an overall ranking score computed as a function of at least two other scores, and providing the identified at least one selectable character string to a user for selection.

Automatic dynamic contextual data entry completion system

A method, performed in a character entry system involves computing contextual associations between multiple character strings based upon occurrence of character strings relative to each other in documents present in the system, wherein the computing contextual associations involves i) identifying pertinent documents present in the system, ii) creating a list of character strings contained within documents in the system; and iii) creating an interrelationship between the character strings to contents of the system; in response to the user inputting a specified threshold of individual characters, identifying at least one selectable character string from among the character strings used in creating the computed contextual associations that can complete the incomplete input character string in context; providing the identified at least one selectable character string to a user for selection; and receiving, in the system, the user's selection and completing the incomplete input character string based upon the selection.

A method performed in a system involves, at a node within the system, receiving an input from a user, determining that the input contains an unknown word, presenting at least one response to the user, and based upon at least one additional input from the user, learning one or more associations for the unknown word.

Dynamic learning for navigation systems

A method, performed in a character entry system, for interrelating character strings so that incomplete input character strings can be completed by a selection of a presented character string involves computing contextual associations between multiple character strings based upon co-occurrence of character strings relative to each other in documents present in the character entry system, in response to inputting of a specified threshold of individual characters, identifying at least one selectable character string from among the computed contextual associations that can compete the incomplete input character string in context; and providing the identified at least one selectable character string to a user for selection.

A method performed in a system having multiple navigable nodes interconnected in a hierarchical arrangement involves receiving an input containing at least one word identifiable with at least one keyword, identifying at least one node, other than the first node, not directly connected to the first node, but associated with the at least one keyword, and jumping to the identified node. A transaction processing system having a hierarchical arrangement of nodes and is configured for user navigation among the nodes. The system has an inverted index correlating keywords with at least some nodes in the arrangement so that when the user provides an input in response to a verbal description and the response includes a meaningful word correlatable with a keyword, the system will identify at least one node correlated to the meaningful word by the inverted index and jump to that node without first traversing any other node.

Navigation in a hierarchical structured transaction processing system

A method performed in connection with an arrangement of nodes representable as a graph, and an inverted index containing a correlation among keywords and nodes such that at least some nodes containing a given keyword are indexed to that given keyword, involves receiving a word, searching the inverted index to determine whether the word is a keyword and, if the word is a keyword, jumping to a node identified in the inverted index as correlated to that keyword, otherwise, learning a meaning for the word based upon reaching a result node and applying at least one specified rule such that a new input containing the word can be received thereafter and the word from the new input will be treated according to the learned meaning.

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New York, NY, United States of America

Prashant Parikh