At&t Intellectual Property I, LP

At+t Corp.

Nuance Communications, Inc.

Siemens Corporate Research, Inc.

Facebook, Inc.

Narendra Kumar Gupta

Mazin G Rahim

Srinivas Bangalore

Mazin E Gilbert

Benjamin J Stern

Giuseppe Di Fabbrizio

Giuseppe Riccardi

Gokhan Tur

Barbara B Hollister

Robert Elias Schapire

Antony Van Der Mude

Junlan Feng

Juergen Schroeter

Hiyan Alshawi

Yoram Singer

Ellen M Voorhees

Dawn L Dutton

Lee Begeja

Alistair D Conkie

Amanda Joy Stent

Gerald Michael Karam

Giuseppe DiFabrizzio

Giuseppe DiFabbrizio

A computerized method is disclosed including but not limited to determining on a processor, a tendency of an end user's to respond to one of a plurality of advertising data types in a video data stream wherein the plurality of advertising data types comprise at least two of audio, video, text and image data types. A computer readable medium containing a data structure is disclosed providing a functional and structural interrelationship between a processor in the system and data in the data structure.

System and method for storing advertising data

Disclosed herein are systems and methods to incorporate human knowledge when developing and using statistical models for natural language understanding. The disclosed systems and methods embrace a data-driven approach to natural language understanding which progresses seamlessly along the continuum of availability of annotated collected data, from when there is no available annotated collected data to when there is any amount of annotated collected data.

Methods and systems for natural language understanding using human knowledge and collected data

A clausifier and method of extracting clauses for spoken language understanding are disclosed. The method relates to generating a set of clauses from speech utterance text and comprises inserting at least one boundary tag in speech utterance text related to sentence boundaries, inserting at least one edit tag indicating a portion of the speech utterance text to remove, and inserting at least one conjunction tag within the speech utterance text. The result is a set of clauses that may be identified within the speech utterance text according to the inserted at least one boundary tag, at least one edit tag and at least one conjunction tag. The disclosed clausifier comprises a sentence boundary classifier, an edit detector classifier, and a conjunction detector classifier. The clausifier may comprise a single classifier or a plurality of classifiers to perform the steps of identifying sentence boundaries, editing text, and identifying conjunctions within the text.

System and method of extracting clauses for spoken language understanding

A system and method are disclosed that improve automatic speech recognition in a spoken dialog system. The method comprises partitioning speech recognizer output into self-contained clauses, identifying a dialog act in each of the self-contained clauses, qualifying dialog acts by identifying a current domain object and/or a current domain action, and determining whether further qualification is possible for the current domain object and/or current domain action. If further qualification is possible, then the method comprises identifying another domain action and/or another domain object associated with the current domain object and/or current domain action, reassigning the another domain action and/or another domain object as the current domain action and/or current domain object and then recursively qualifying the new current domain action and/or current object. This process continues until nothing is left to qualify.

System and method of spoken language understanding in human computer dialogs

A clausifier for extracting clauses for spoken language understanding is disclosed. The method relates to generating a set of clauses from speech utterance text and comprises inserting at least one boundary tag in speech utterance text related to sentence boundaries, inserting at least one edit tag indicating a portion of the speech utterance text to remove, and inserting at least one conjunction tag within the speech utterance text. The result is a set of clauses that may be identified within the speech utterance text according to the inserted at least one boundary tag, at least one edit tag and at least one conjunction tag. The disclosed clausifier comprises a sentence boundary classifier, an edit detector classifier, and a conjunction detector classifier. The clausifier may comprise a single classifier or a plurality of classifiers to perform the steps of identifying sentence boundaries, editing text, and identifying conjunctions within the text.

An arrangement for allowing 'hands-free' access to DTMF-controlled systems, such as one's voice mail messaging systems, utilizes a speech-to-DTMF tone application that monitors the communication between the user and the DTMF-controlled system. A speech recognition unit is utilized to retrieve certain voice commands (e.g., 'next', &#x201c;skip&#x201d;, &#x201c;repeat&#x201d;, &#x201c;forward&#x201d;, etc.) when uttered by the user. The application then translates the received commands into the proper DTMF tone sequence used by the DTMF-controlled system and transmits the DTMF tones to the system. The application is particularly useful in the cell phone environment and avoids the necessity of the user to constantly switch between using the keypad and listening to messages/commands from the system.

Voice-operated interface for DTMF-controlled systems

A computerized method is disclosed for presenting advertising data extracted from a video data stream, the method including storing a plurality of advertising data items extracted from the video data stream at an end user device; and displaying a plurality of sorted advertising indicator data items at the end user device, wherein each of the advertising indicator data items indicates one of the plurality of stored advertising data items. A system is disclosed for performing the method. A data structure is disclosed providing a functional and structural interrelationship between a processor in the system and data in the data structure.

A method, system and computer readable medium that generates a dialog model for use in automated dialog is disclosed. The method may include collecting a plurality of task-oriented dialog interactions between users and human agents for a given domain, identifying one or more task in each dialog interaction, identifying one or more subtasks in each identified task and associating relations between the subtasks, identifying a dialog act and a set of predicate-argument relations for each subtask, generating one or more clauses from the set of predicate-argument relations, storing the tasks, subtasks, dialog acts predicate-argument relations, and clauses from each dialog interaction as a dialog interaction set, generating a dialog management model using the stored dialog interaction sets.

Copying human interactions through learning and discovery

A system and method to provide content and call attributes for a destination phone number using a click-to-dial connection includes accepting a query, retrieving links to a document, and searching through cached data using the query to identify relevant or destination number information. If no match is found, the method continues with accessing the document identified by the link for identifying relevant number information and creating a click-to-dial icon to link to the relevant numbers included in the relevant phone number information identified by the query. Next, a popup box for content relevant to the click-to-dial icon and a click feature on the popup box are created to retrieve call destination attributes for viewing by a user. Further, computer instructions create at least one communication connection between two communication devices after viewing call destination attributes.

Providing called number characteristics to click-to-dial customers

A system and method are provided for augmenting information on business directory databases and communicating with businesses is disclosed. Using the enriched business directory database and Web mining technology, customized email message are sent inviting businesses to enter their enriched business information into the directory or even subscribe to other paid services provided by the directory service.

Growing community of inventors

Dayton, NJ, United States of America

Narendra Kumar Gupta