Xerox Corporation

Aaron N Kaplan

Stefania Castellani

Frederic Roulland

Claude Roux

Antonietta Grasso

Jacki O'Neill

Ágnes Sándor

Tracy Eugene Thieret

Jutta Willamowski

Donald J Gusmano

Maria Antonietta Grasso

Roger T Kramer

Ronald M Rockwell

Jonina Selin

Karin Pettersson

A method for assisting a user to develop a query in a natural language includes receiving a user's query in a natural language and, while the user's query is being entered, presenting a subset of ranked query suggestions from a collection of ranked query suggestions to the user as candidates for user queries. The subset is based on that portion of the user's query already entered. The query suggestions in the subset of query suggestions are presented according to their respective rankings in the collection. Each of the query suggestions in the collection is formulated to retrieve at least one responsive instance in the knowledge base. The rankings of the query suggestions in the collection are based at least in part on stored logs of prior user sessions in which user queries were input to a search engine for retrieving responsive instances from the knowledge base.

Real-time query suggestion in a troubleshooting context

A system and method enable semi-automated generation of query expansion rules for searching a knowledge base. Candidate synonymy pairs are automatically extracted from queries made by users when searching a knowledge base. Synonymy rules are defined, based on the extracted candidate synonymy pairs, and may be context dependent. Query expansion rules based on the defined synonymy rules can then be exported to a storage medium for use in expansion of new user queries when searching the knowledge base.

System and method for semi-automatic creation and maintenance of query expansion rules

A method for troubleshooting a problem with a device includes acquiring device data for the device, receiving a user's query concerning a device in a natural language, presenting possible refinements to at least a portion of the user's query for defining a problem statement, presenting candidate solutions that are associated with the defined problem statement in a knowledge base, at least one of the presentation of possible refinements and the presentation of candidate solutions being informed by device data that is linked through a diagnostic model of the device to at least one of the problem statements and candidate solutions.

Informing troubleshooting sessions with device data

A system for retrieving documents related to a concept from a text corpus includes a set of stored semantic classes which are combinable to express the concept each class including a set of keywords, each set of keywords including at least one keyword. Syntactic rules are applied to identified text portions which include one or more of the keywords. A rule is satisfied when keywords from the first and second semantic classes are in any one of a plurality of syntactic relationships. A concept matching module identifies text portions within the text corpus which include one or more of the keywords, for applying the syntactic rules to the text portions, and for identifying those text portions which satisfy at least one of the rules. Documents to be retrieved may include at least one of the identified text portions.

Concept matching system

A system suited to self-troubleshooting includes a processor which identifies normalized forms of at least some of the words of a natural language user query input by a user. The user query may describe a problem experienced with a machine, such as a printer. The processor retrieves text strings which may comprise problem statements stored in memory. Each retrieved problem statement includes at least one word with a normalized form which is recognized by the processor as being equivalent to one of the identified normalized forms. Each of the retrieved problem statements may be associated with at least one solution sequence for addressing the problem with the machine. In the event that the stored problem statements in memory are not fully responsive, the processor provides one or more options for refinement of the user query based on tags associated with those words of the problem statements which are responsive.

Natural language processing for developing queries

A computer retrieval system includes memory which stores instructions for (1) receiving a user query in a natural language, (2) identifying text strings from an associated knowledge base, each containing at least one expression (word or multi-word expression) which is matched with at least one expression of the user query, (3) refining the user query by representing at least a group of the text strings as a navigation tree in which each of a plurality of selectable nodes comprises an expression representative of at least one syntactic unit in at least one of the identified text strings and wherein relationships between syntactic units are used in structuring the nodes of the navigation tree, and (4) retrieving text from the knowledge base related to the refined query. A processor executes the instructions.

Navigation system for text

A method for developing a system for retrieving text related to a selected concept within a text corpus includes identifying a set of semantic classes which express the concept and identifying a set of keywords for each of the semantic classes to be used in text searching in a text corpus. Each set of keywords includes at least one keyword. A plurality of syntactic rules are established which are to be applied to retrieved text which includes keywords. Each of the syntactic rules identifies a first of the semantic classes and a second of the semantic classes. A rule is satisfied when a keyword from the first of the semantic classes is in a syntactic relationship with a keyword from the second of the semantic classes. The syntactic relationship can be any one of a plurality of syntactic relationships.

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Grenoble, France

Aaron N Kaplan