International Business Machines Corporation

Nuance Communications, Inc.

James William Cooper

Donna Karen Byron

Peter Gustav Fairweather

Branimir Konstantinov Boguraev

Roy Jefferson Byrd

Stephen Kane Boyer

Mary Susan Neff

Anna Rosa Coden

Sherman Robert Alpert

Richard Bruce Lam

Robert Lee Angell

Richard D Hennessy

Eric William Brown

Anthony Tom Levas

Jeffrey Thomas Kreulen

Youssef Drissi

James J Rhodes

Anni Rosa Coden

David Charles Martin

Shahram Ebadollahi

Tapas Kanungo

W Scott Spangler

Herschel J R Weintraub

Rie Kubota Ando

A system and method for processing a document to generate a set of related documents. A system is provided that includes a textual analytics system that analyzes unstructured data contained in a source document and extracts a set of structured information about the source document; and a compare system that identifies a set of related documents by comparing the set of structured information with metadata indexed from a set of publications.

System and method for using text analytics to identify a set of related documents from a source document

A system and method for processing data includes organizing medical information in a concept frame data structure, which is adapted to include medical measurements and related metadata. The medical information is analyzed to extract further information using information extractors and to store extracted medical information in the concept frame data structure. References are stored to appropriate visualization methods along with an associated concept in the concept frame data structure.

System and method for organizing and displaying of longitudinal multimodal medical records

Disclosed is a method, a computer program product and a system for processing documents that contain chemical names. The system has a unit to partition document text and to assign semantic meaning to words; a unit to recognize any substructures present in the chemical name fragments; and a unit to determine structural connectivity information of the chemical name fragments and recognized substructures and to store the determined structural connectivity information in a searchable index. The system further includes a unit to search a text index using at least one of a fragment name and a substructure name and to search the structure index by at least one of fragment connectivity and substructure connectivity. At an intersection of the search results from the structure index and the text index, the system operates to identify at least one document that contains a reference to a corresponding chemical compound.

System and method for the indexing of organic chemical structures mined from text documents

This invention provides a method, a system and a computer program for recognizing technical terms. In the preferred embodiment the technical terms are chemical names, and in a most preferred embodiment the technical terms are organic chemical names. A computer program product stores in a computer readable form a set of computer program instructions for directing at least one computer to process a text document. The set of computer program instructions include instructions for assigning corresponding associated parts of speech to words found in the document. The instructions for assigning include instructions to apply a plurality of regular expressions, rules and a plurality of dictionaries to recognize organic chemical name fragments, to combine recognized organic chemical name fragments into a complete organic chemical name, and to assign the complete organic chemical name with one part of speech. The regular expressions include a plurality of patterns, individual ones of which are comprised of at least one of characters, numbers and punctuation. For example, the punctuation can comprise at least one of parenthesis, square bracket, hyphen, colon and semi-colon, and the characters can comprise at least one of upper case C, O, R, N and H, and further comprise strings of at least one of lower case xy, ene, ine, yl, ane and oic.

System and method for the recognition of organic chemical names in text documents

In general, the present invention converts speech, preferably recorded on a portable recorder, to text, analyzes the text, and determines voice commands and times when the voice commands occurred. Task names are associated with voice commands and time segments. These time segments and tasks may be packaged as time increments and stored (e.g., in a file or database) for further processing. Preferably, phrase grammar rules are used when analyzing the text, as this helps to determine voice commands. Using phrase grammar rules also allows the text to contain a variety of topics, only some of which are pertinent to tracking time.

Tracking time using portable recorders and speech recognition

A system and a method are described for rapidly determining document similarity among a set of documents, such as a set of documents obtained from an information retrieval (IR) system. A ranked list of the most important terms in each document is obtained using a phrase recognizer system. The list is stored in a database and is used to compute document similarity with a simple database query. If the number of terms found to not be contained in both documents is less than some predetermined threshold compared to the total number of terms in the document, these documents are determined to be very similar. It is shown that these techniques may be employed to accurately recognize that documents, that have been revised to contain parts of other documents, are still closely related to the original document. These teachings further provide for the computation of a document signature that can then be used to make a rapid comparison between documents that are likely to be identical.

System and method for detecting duplicate and similar documents

A speech conversation is changed to a text transcript, which is then pre-processed and subjected to text mining to determine salient terms. Salient terms are those terms that meet a predetermined level of selectivity in a collection. The text transcript of the speech conversation is displayed by emphasizing the salient terms and minimizing non-salient terms. An interface is provided that allows a user to select a salient term, whereupon the speech conversation is played beginning at the location, in the speech file, of the selected salient term.

System and method for searching, analyzing and displaying text transcripts of speech after imperfect speech recognition

To identify and describe one or more topics in one or more documents in a document set, a term set process creates a basic term set from the document set where the term set comprises one or more basic terms of one or more words in the document. A document vector process then creates a document vector for each document. The document vector has a document vector direction representing what the document is about. A topic vector process then creates one or more topic vectors from the document vectors. Each topic vector has a topic vector direction representing a topic in the document set. A topic term set process creates a topic term set for each topic vector that comprises one or more of the basic terms describing the topic represented by the topic vector. Each of the basic terms in the topic term set associated with the relevancy of the basic term. A topic-document relevance process creates a topic-document relevance for each topic vector and each document vector. The topic-document relevance representing the relevance of the document to the topic. A topic sentence set process creates a topic sentence set for each topic vector that comprises of one or more topic sentences that describe the topic represented by the topic vector. Each of the topic sentences is then associated with the relevance of the topic sentence to the topic represented by the topic vector.

System, method, and program product for identifying and describing topics in a collection of electronic documents

A visual metaphor is provided on a computer and/or network environment for tagging documents with various types of (education) commentary to an author's (student's) work and indications of (educational) goals that have been or are to be achieved. One or more of the comments and goals are based on predetermined standards. The goals or comments are optionally weighted. Summaries of these goals can be generated to assist evaluators (teachers and administrators) in evaluating both the work of the authors (students) and the success of evaluator in managing (teaching the authors (students).

System and method for taggable digital portfolio creation and report generation

A system and method are disclosed for identifying useless or insignificant documents in a document hit list assembled from documents stored in one or more document collection databases. A search engine is used to compose the document hit list based on a query presented by a user. A text extraction algorithm run by a processor is then used to process the documents identified by the document hit list to produce a table of terms and their corresponding collection-level importance ranking called the IQ or Information Quotient. The text algorithm also produces a table of the most important terms per document. The documents are also scanned independently and a table of documents with filenames and lengths is also produced. A summarizing text algorithm is also run by a processor against the documents of the document hit list to produce a table of terms having a high tf*idf value for each document. All of the tables are stored in a relational database, which allows the system of the present invention to generate a table of terms per document ranked by decreasing IQ. To determine whether a document is useful or useless, the table of terms and IQs, the table of most important terms per document, the table of documents with filename and lengths, and the table of high tf*idf values are examined.

System and method for identifying useless documents

Two or more client users, connected by one or more networks to the server, cooperatively search a database. The server has a data structure that has two or more cooperative user identifiers. Each cooperative user identifier represents one of the clients that has indicated a desired to establish a cooperative search. The data structure further has a session identifier that associates two or more of the cooperative user identifiers as session participants in an established a cooperative session. A command process, executing on the server, receives a query from one of the session participants (clients), accesses results of the query from a search engine, and distributes the results to all of the session participants. Queries of the cooperative session are related to indexed terms so that future uses will find this relationship when using similar queries. These are applications in searching for sales and service information.

System and method for implementing cooperative text searching

Concepts in documents selected are identified to a user. These concepts are represented by multiple words. A search engine is used to that accesses one or more selected documents from a plurality of documents storied in one or more of the memories. Then a markup engine selects multiple-word terms in each of one or more of the selected documents. The selected words, often multiple word/concepts, are selected because they are repeated in one of the documents and because that meet grammatical criteria. After the markup engine selects the selected words, it marks each of the selected words with marker. These active markers can then be used to launch additional searches or displays of related information. Optionally, documents with the selected words are displayed to a user with the markers.

Active markup--a system and method for navigating through text

A visual metaphor is provided on a computer and/or network environment for tagging documents with various types of (education) commentary to an author's (student's) work and indications of (educational) goals that have been or are to be achieved. One or more of the comments and goals are based on predetermined standards. The goals or comments are optionally weighted. Summaries of these goals can be generated to assist evaluators (teachers and administrators) in evaluating both the work of the authors (students) and the success of evaluator in managing (teaching) the authors (students).

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Wilton, CT, United States of America

James William Cooper