Xerox Corporation

Clairvoyance Corporation

Gregory T Grefenstette

James G Shanahan

Eric Gaussier

Jean-Pierre Chanod

James Shanahan

Jan O Pedersen

David A Evans

Hinrich H Schuetze

Claude Roux

Max Copperman

Christer E Fernstrom

Francois Pacull

Michel Gastaldo

Laurence Hubert

Geoffrey D Nunberg

Brett L Kessler

Xiang Tong

A system includes a meta-document, i.e., a document including content information which has a set of document service requests associated with it. A document service is a process which uses a portion of the document content as a starting point to obtain other information pertaining to that content. A scheduler selects a document service request from the set, then initiates and manages managing communication with a service provider to satisfy the selected document service. Any results received from the selected document service are integrated into the document.

Meta-document and method of managing

A method, system and article of manufacture therefor, are disclosed for automatically generating a query from document content.

System for automatically generating queries

A method and system identifying the language of a textual passage is disclosed. The method and system includes parsing the textual passage into n-grams and assigning an initial weight to each n-gram, and adjusting the weight initially assigned to a word or n-gram parsed from the textual passage. The initially assigned weight is adjusted in a manner proportionate to the inverse of the number of languages within which such words or n-grams appear. Reducing the weight assigned to such words or n-grams diminishes&#x2014;without completely eliminating&#x2014;their importance in comparison to other words or n-grams parsed from the same textual passage when determining the language of a passage. The method and system of the present invention appropriately weighs the short words or n-grams common to multiple languages without affecting the short words or n-grams that are uncommon to several languages.

Method of identifying the language of a textual passage using short word and/or n-gram comparisons

A personality that identifies enrichment themes of a document is associated with a reading or mobile computing device. In one embodiment, a personality is associated with a document reference reading device and attached to each document reference recorded by the document reference reading device. The personality and each recorded document reference are transmitted to a meta-document server. The meta-document server enriches document content identified by the document reference in accordance with the associated personality. The enriched document content is then made available to the user of the reading device.

Meta-document management system with document identifiers

In a document enrichment system, device buttons can be programmed to associate a number of personalities to the buttons on the device. These associations may be stored locally on the device. When the device with the programmed personality is activated on the device, the document produced is sent to a document enrichment system. Once enriched the document enrichment system notifies the user of the availability of the document in its new form.

Meta-document management system with transit triggered enrichment

A processor implemented method of identifying the text genre of a machine-readable, untagged text. The processor implemented method begins by generating a cue vector from the text, which represents occurrences in the text of a first set of nonstructural, surface cues, which are easily computable. Afterward, the processor determines whether the text is an instance of a first text genre using the cue vector and a weighting vector associated with the first text genre.

Article and method of automatically determining text genre using surface features of untagged texts

A system provides a plurality of controls for enriching the content of a meta-document. A meta-document includes document content and personalities that describe enrichment themes. The system is adapted to automatically, with user settable constrains, determine whether to propagate enrichment between documents using an interaction history. In addition, the system is adapted to automatically determine, with user settable constraints, the form that markup is to take in the document content.

System for propagating enrichment between documents

An information space is created using a document. Entities from the document and its information space are used to create a database of entities. An auto-completion system uses contextual information surrounding a fragment from the document to formulate a query. The query is used to identify a set of entities in the database of entities that complete the fragment. An auto-correction system uses contextual information from identified errors in the document to formulate a query. The query is used to identify a set of entities in the database of entities that correct the error.

Document-centric system with auto-completion

A system generates a query using an entity extractor, a categorizer, a query generator, and a short run aspect vector. The entity extractor identifies a set of entities in selected document content for searching information related thereto using an information retrieval system. The categorizer defines an organized classification of document content with each class in the organization of content having associated therewith a classification label that corresponds to a category of information in the information retrieval system. The categorizer assigns the selected document content a classification label from the organized classification of content. A query generator formulates a query that restricts a search at the information retrieval system to the category of information in the information retrieval system identified by the assigned classification label. The short length aspect vector generator generates terms for further refining the query using context information surrounding the set of entities in the selected document content.

A system operates using meta-documents which include document content associated with one or more personalities. Each personality is associated with a set of document service requests. Users are provided different techniques for creating personalities and modifying existing personalities. These techniques include: the use of an algebra to tailor existing personalities, the use of a list of links or documents to create a personality, the use of predefined personalities and knowledge levels in a field to create new personalities, the use of question answering techniques, and the use of learning personalities. Specified personalities are then used to enrich document content by integrating into corresponding meta-documents the results received from their document service requests.

Meta-document management system with user definable personalities

A system and remote control device that controls an appliance, and obtains a desired function of the appliance, by invoking a remote procedure call in a remote server which will thereby actually control the appliance. The remote control device comprises a sensor; sensor responsive means for capturing information provided by the sensor, wherein the captured information at least contains parameters representative of the identification of the appliance, user-profile parameters, parameters representative of the address of the remote server, and a function name indicating the function to be performed by the appliance; marshalling means for encoding the captured information and for packaging the captured information into data in a remote procedure call format; and a transmitter for establishing a communication protocol with the remote server in order to transmit the packaged data to the remote server so that the remote server may execute the remote procedure call.

Generic handheld remote control device

A system and method are provided for translating an input text from a natural source language to a natural target language. The system stores a database that contains a plurality of pairs of text fragments with each pair including a text fragment in the source language and a corresponding text fragment in the target language. Each text fragment contains at least one word phrase and represents a primary grammatical unit such as a sentence or a clause. For translating a word phrase, the database is queried using a phrase index of the database, where the phrase index indexes text fragments by word phrases. Word phrases are noun phrases or word phrases. Alternatively, word phrases are predicates involving at least one verb and one noun or adjective used as a noun. The system further comprises a phrase extractor for extracting a word phrase from a text fragment of an input text.

Word phrase translation using a phrase index

Expression/person data are obtained and, in turn, are used to obtain information about groups of people in a population. The people access resources that include linguistically analyzable content, such as Web pages that include text. The expression/person data identify, for each of a set of expression types that occur in the resources, people who have accessed resources that include that type. The group information indicates a group of people who have accessed resources that include instances of expression types that have similar conceptual content. For example, an item of expression/person data can be obtained when a person accesses a Web page in an acquisition mode, by performing linguistic analysis in the background. An expression type can be indicated, for example, by a syntactic relation and a pair of normalized words that occur in the syntactic relation in the analyzed text. The expression/person data can be stored in a database. When a user provides a query that includes a set of words or other expressions, a list of conceptually similar expressions and identifiers of people who have accessed Web pages that include them can be presented on a display.

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Gieres, France

Gregory T Grefenstette