International Business Machines Corporation

Kasisto, Inc.

Nuance Communications, Inc.

Sasha P Caskey

Dimitri Kanevsky

Tara N Sainath

Sameer Maskey

Ossama S Emam

Cheng Wu

Andrzej Sakrajda

Rick A Hamilton, Ii

Peter Kenneth Malkin

Robert G Farrell

Hui Wan

Jian Ni

James R Kozloski

Aleksandr Y Aravkin

Yi Ma

Sathish Pammi

Robert Stewart

Guillermo Averboch

Roberto Pieraccini

Juan Manuel Huerta

Sara H Basson

Wen Liu

Carlos Henrique Cardonha

Yong Qin

David M Lubensky

George Andrei Saon

Dan Jiang

Brian Kingsbury

Danning Jiang

David R Winer

Jackson Deitelzweig

A method includes receiving data comprising a plurality of requests and a plurality of responses to the requests. The requests and the responses are associated with a virtual assistant programmed to address the plurality of requests. In the method, a machine learning (ML) classifier is used to partition the requests into a plurality of partitions corresponding to a plurality of request types. An interface for a user is generated to display a subset of the requests corresponding to at least one partition of the plurality of partitions and to display a response corresponding to the subset of the plurality of requests, wherein the response is based on one or more of the plurality of responses. The interface is configured to permit editing of the response by the user. The method also includes processing the response edited by the user, and transmitting the edited response to the virtual assistant.

Building and managing cohesive interaction for virtual assistants

A method for model management includes receiving data on which to base a model, evaluating the received data against a plurality of existing models and data associated with each of the plurality of existing models, determining whether any of the plurality of existing models can be used as the model or as a basis to develop the model for the received data, and providing a user with the existing models that can be used as the model or as a basis to develop the model for the received data.

Method and system for using existing models in connection with new model development

A method of providing real-time speech analysis to a user includes capturing a speech input, performing a real-time recognition of the speech input including converting the speech input to a text, analyzing the recognized speech input to identify an error in a voice of the user, the analyzing including comparing a voice of a correct text generated by an automated speech generation system with the captured speed input, and processing the text to extract a context dialog prompt.

Real-time speech analysis method and system using speech recognition and comparison with standard pronunciation

A method of translating information using crowdsourcing includes evaluating a metric related to a content to be translated, determining a priority for the content, queuing the content for the crowdsourcing based on the priority determined from the metric, and translating the information from a language to another language using the crowdsourcing.

Selective machine translation with crowdsourcing

A method of providing real-time speech analysis for a user includes capturing a speech input, performing a real-time recognition of the speech input including converting the speech input to a text using an automatic speech recognition component, analyzing the recognized speech input, by a processing unit of a computer in a speech recognition and analyzing system, to identify an error in the user's speech, and by comparing a voice of a correct text generated by a speech generation and analyzing system with the captured speech input, and providing a real-time correction to the user based on a result of the comparing the voice of the correct text with the captured speech input. The comparing the voice of the correct text with the captured speech input includes comparing a standard pronunciation of the correct text with a pronunciation of the user in the captured speech input to identify the error.

Real-time speech analysis and method using speech recognition and comparison with standard pronunciation

A system for re-authentication comprises a re-authentication server, implemented by one or more processing devices. The re-authentication server is configured to receive a re-authentication request from an organizational server, process the re-authentication request, and transmit a re-authentication prompt to a user device, wherein the re-authentication request is transmitted from the organizational server to the re-authentication server without being communicated to an application server configured to receive a request for at least one of a service and data from the user device.

Automatic on demand re-authentication of software agents

Systems and methods for generating content corresponding to an event are provided. A method for generating content corresponding to an event, comprises defining a plurality of sub-events of the event, classifying one or more actual occurrences in the event into one or more of the sub-events, monitoring behavior of one or more users to determine areas of the event of interest to the one or more users, linking the one or more users to the one or more classified actual occurrences based on the areas of the event of interest, and generating content for the one or more classified actual occurrences.

System and method for generating content corresponding to an event

Approaches for translating a transliterated search query are provided. An approach includes receiving a search query containing a transliterated word. The approach also includes determining a source language corresponding to the transliterated word. The approach further includes converting the transliterated word to a word in the source language. The approach additionally includes translating the word in the source language to a word in a target language. The approach also includes performing a search using the word in the target language.

Providing multi-lingual searching of mono-lingual content

Computing system resources are controlled based on the behavioral attributes associated with users of the computing system. These behavioral attributes are monitored in real time and through a historical log, and behavioral attributes that fall outside pre-determined preferred behavioral parameters are detected. Access by the computing system user to computing system resources contained in a preferred and habitually accessed computing system resource set associated with the computing system user are adjusted in response to the detection of the behavioral attribute outside the pre-determined preferred behavioral parameters.

Controlled resources based on good behavior

In a method for generating a searchable index from an analysis of a software application, receiving a first software application. The one or more processors determine that a first source code of the first software application is inaccessible. The one or more processors stimulate the first software application. The one or more processors analyze textual data resulting from the stimulation of the first software application. The one or more processors classify one or more images resulting from the stimulation of the first software application. The one or more processors index the analyzed textual data and the classified one or more images resulting from the stimulation of the first software application.

Indexing content and source code of a software application

An input text string is received that contains characters or words. The input text string can be completed or corrected using contact scores based on n-grams. In addition, a subsequent text string and a preceding text string for the input text string are also identified, again using n-gram scores. A corrected text string is created by inserting the preceding text string before the input text string and appending the subsequent text string after the input text string.

Text auto-correction via N-grams

A structure and method for crowdsourcing includes evaluating a metric related to a content to be translated, determining a priority for the content based on the metric related to the content, and queuing the content for crowdsourcing based on the priority determined from the metric.

Systems and methods for using biometrics to select music preference are provided. A system for using biometrics to select music preferences for a user in a vehicle, comprises a music selection module electrically coupled to at least one biometric sensor in the vehicle, wherein the at least one biometric sensor senses a characteristic of the user and outputs data for the sensed characteristic to the music selection module, and wherein the music selection module selects a music selection for the user based on the sensed characteristic data, and a controller module electrically coupled to the music selection module to control playing of the music selection, wherein the controller module receives an output including the music selection from the music selection module.

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Yorktown Heights, NY, United States of America

Sasha P Caskey