Patents by Inventor Alexandre Rochette

Alexandre Rochette has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20170365250
    Abstract: Systems and methods for building a dialog-state specific multi-turn contextual language understanding system are provided. More specifically, the systems and methods infer or are configured to infer a state-specific schema and/or state-specific rules from a formed single-shot language understanding model and/or a single-shot rule set. As such, the systems and methods only require the information necessary to form a single-shot language understanding model and/or a single-shot rule set from a builder to form or build the dialog-state specific multi-turn contextual language understanding system.
    Type: Application
    Filed: June 20, 2016
    Publication date: December 21, 2017
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Ruhi Sarikaya, Young-Bum Kim, Alexandre Rochette
  • Publication number: 20170262432
    Abstract: Methods and systems are provided for contextual language understanding. A natural language expression may be received at a single-turn model and a multi-turn model for determining an intent of a user. For example, the single-turn model may determine a first prediction of at least one of a domain classification, intent classification, and slot type of the natural language expression. The multi-turn model may determine a second prediction of at least one of a domain classification, intent classification, and slot type of the natural language expression. The first prediction and the second prediction may be combined to produce a final prediction relative to the intent of the natural language expression. An action may be performed based on the final prediction of the natural language expression.
    Type: Application
    Filed: May 26, 2017
    Publication date: September 14, 2017
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Ruhi Sarikaya, Puyang Xu, Alexandre Rochette, Asli Celikyilmaz
  • Publication number: 20170235465
    Abstract: Aspects herein provide third party application authors with a user interface authoring platform that automates and simplifies a task definition process while also providing the ability to leverage pre-existing language understanding models and canonicalization and resolution modules that are provided by the operating system on which the CU system resides or as provided by other third parties. In particular, the present disclosure provides a method and system for authoring a task using a user interface authoring platform.
    Type: Application
    Filed: February 12, 2016
    Publication date: August 17, 2017
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Marius Alexandru Marin, Paul Anthony Crook, Nikhil Holenarsipur Ramesh, Vipul Agarwal, Omar Zia Khan, Alexandre Rochette, Jean-Philippe Robichaud, Ruhi Sarikaya
  • Publication number: 20170212884
    Abstract: A computer-implemented technique is described for facilitating the creation of a language understanding (LU) component for use with an application. The technique allows a developer to select a subset of parameters from a larger set of parameters. The subset of parameters pertains to a LU scenario to be handled by the application. The larger set of parameters pertains to a plurality of LU scenarios handled by an already-existing generic LU model. The technique creates a constrained LU component that is based on the subset of parameters in conjunction with the generic LU model. At runtime, the constrained LU component interprets input language items using the generic LU model in a manner that is constrained by the subset of parameters that have been selected, to provide an output result. The technique also allows the developer to create new rules and/or supplemental models.
    Type: Application
    Filed: January 23, 2016
    Publication date: July 27, 2017
    Inventors: Young-Bum Kim, Ruhi Sarikaya, Alexandre Rochette
  • Publication number: 20170212886
    Abstract: Examples of the present disclosure describe systems and methods of configuring generic language understanding models. In aspects, one or more previously configured schemas for various applications may be identified and collected. A generic schema may be generated using the collected schemas. The collected schemas may be programmatically mapped to the generic schema. The generic schema may be used to train on ore more models. An interface may be provided to allow browsing the models. The interface may include a configuration mechanism that provides for selecting on or more of the models. The selected models may be bundled programmatically, such that the information and instructions needed to implement the models are configured programmatically. The bundled models may then be provided to a requestor.
    Type: Application
    Filed: January 22, 2016
    Publication date: July 27, 2017
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Ruhi Sarikaya, Asli Celikyilmaz, Young-Bum Kim, Zhaleh Feizollahi, Nikhil Ramesh, Hisami Suzuki, Alexandre Rochette
  • Patent number: 9690776
    Abstract: Methods and systems are provided for contextual language understanding. A natural language expression may be received at a single-turn model and a multi-turn model for determining an intent of a user. For example, the single-turn model may determine a first prediction of at least one of a domain classification, intent classification, and slot type of the natural language expression. The multi-turn model may determine a second prediction of at least one of a domain classification, intent classification, and slot type of the natural language expression. The first prediction and the second prediction may be combined to produce a final prediction relative to the intent of the natural language expression. An action may be performed based on the final prediction of the natural language expression.
    Type: Grant
    Filed: December 1, 2014
    Date of Patent: June 27, 2017
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Ruhi Sarikaya, Puyang Xu, Alexandre Rochette, Asli Celikyilmaz
  • Publication number: 20160154792
    Abstract: Methods and systems are provided for contextual language understanding. A natural language expression may be received at a single-turn model and a multi-turn model for determining an intent of a user. For example, the single-turn model may determine a first prediction of at least one of a domain classification, intent classification, and slot type of the natural language expression. The multi-turn model may determine a second prediction of at least one of a domain classification, intent classification, and slot type of the natural language expression. The first prediction and the second prediction may be combined to produce a final prediction relative to the intent of the natural language expression. An action may be performed based on the final prediction of the natural language expression.
    Type: Application
    Filed: December 1, 2014
    Publication date: June 2, 2016
    Inventors: Ruhi Sarikaya, Puyang Xu, Alexandre Rochette, Asli Celikyilmaz
  • Patent number: 9318109
    Abstract: Embodiments provide for tracking a partial dialog state as part of managing a dialog state space, but the embodiments are not so limited. A method of an embodiment jointly models partial state update and named entity recognition using a sequence-based classification or other model, wherein recognition of named entities and a partial state update can be performed in a single processing stage at runtime to generate a distribution over partial dialog states. A system of an embodiment is configured to generate a distribution over partial dialog states at runtime in part using a sequence classification decoding or other algorithm to generate one or more partial dialog state hypothesis and/or a confidence score or measure associated with each hypothesis. Other embodiments are included.
    Type: Grant
    Filed: October 2, 2013
    Date of Patent: April 19, 2016
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Daniel Boies, Ruhi Sarikaya, Alexandre Rochette, Zhaleh Feizollahi, Nikhil Ramesh
  • Publication number: 20150286747
    Abstract: User input expressed as text may be analyzed for determining a type of response, such as an application response, and/or determining a type of task that is requested by the user input. Entity representations may be identified, classified and/or or tagged based on a type of response, type of task and/or a set of entity types. A surface form of an entity, ambiguous entity representation and/or other type of expression within the user input may be resolved, normalized and/or mapped to a normalized value. Normalizing entities and/or entity attributes may involve using a set of normalization rules, a lookup table, one or more machined learned methods, and/or an entity normalization index that associates entities with alternate surface forms derived from web corpora. The normalized value may be used to construct a request to a structured knowledge source and/or an application.
    Type: Application
    Filed: April 2, 2014
    Publication date: October 8, 2015
    Applicant: MICROSOFT CORPORATION
    Inventors: Tasos Anastasakos, Alexandre Rochette, Ruhi Sarikaya
  • Publication number: 20150095033
    Abstract: Embodiments provide for tracking a partial dialog state as part of managing a dialog state space, but the embodiments are not so limited. A method of an embodiment jointly models partial state update and named entity recognition using a sequence-based classification or other model, wherein recognition of named entities and a partial state update can be performed in a single processing stage at runtime to generate a distribution over partial dialog states. A system of an embodiment is configured to generate a distribution over partial dialog states at runtime in part using a sequence classification decoding or other algorithm to generate one or more partial dialog state hypothesis and/or a confidence score or measure associated with each hypothesis. Other embodiments are included.
    Type: Application
    Filed: October 2, 2013
    Publication date: April 2, 2015
    Applicant: MICROSOFT CORPORATION
    Inventors: Daniel Boies, Ruhi Sarikaya, Alexandre Rochette, Zhaleh Feizollahi, Nikhil Ramesh