Patents by Inventor Fethiye Asli Celikyilmaz

Fethiye Asli Celikyilmaz 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: 20140222422
    Abstract: A scalable statistical language understanding (SLU) system uses a fixed number of understanding models that scale across domains and intents (i.e. single vs. multiple intents per utterance). For each domain added to the SLU system, the fixed number of existing models is updated to reflect the newly added domain. Information that is already included in the existing models and the corresponding training data may be re-used. The fixed models may include a domain detector model, an intent action detector model, an intent object detector model and a slot/entity tagging model. A domain detector identifies different domains identified within an utterance. All/portion of the detected domains are used to determine associated intent actions. For each determined intent action, one or more intent objects are identified. Slot/entity tagging is performed using the determined domains, intent actions, and intent object detector.
    Type: Application
    Filed: February 4, 2013
    Publication date: August 7, 2014
    Applicant: Microsoft Corporation
    Inventors: Ruhi Sarikaya, Anoop Deoras, Fethiye Asli Celikyilmaz, Ravikiran Janardhana, Daniel Boies
  • Publication number: 20140180676
    Abstract: Click logs are automatically mined to assist in discovering candidate variations for named entities. The named entities may be obtained from one or more sources and include an initial list of named entities. A search may be performed within one or more search engines to determine common phrases that are used to identify the named entity in addition to the named entity initially included in the named entity list. Click logs associated with results of past searches are automatically mined to discover what phrases determined from the searches are candidate variations for the named entity. The candidate variations are scored to assist in determining the variations to include within an understanding model. The variations may also be used when delivering responses and displayed output in the SLU system. For example, instead of using the listed named entity, a popular and/or shortened name may be used by the system.
    Type: Application
    Filed: December 21, 2012
    Publication date: June 26, 2014
    Applicant: Microsoft Corporation
    Inventors: Dustin Hillard, Fethiye Asli Celikyilmaz, Dilek Hakkani-Tur, Rukmini Iyer, Gokhan Tur
  • Publication number: 20130304451
    Abstract: Processes capable of accepting linguistic input in one or more languages are generated by re-using existing linguistic components associated with a different anchor language, together with machine translation components that translate between the anchor language and the one or more languages. Linguistic input is directed to machine translation components that translate such input from its language into the anchor language. Those existing linguistic components are then utilized to initiate responsive processing and generate output. Optionally, the output is directed through the machine translation components. A language identifier can initially receive linguistic input and identify the language within which such linguistic input is provided to select an appropriate machine translation component.
    Type: Application
    Filed: May 10, 2012
    Publication date: November 14, 2013
    Applicant: MICROSOFT CORPORATION
    Inventors: Ruhi Sarikaya, Daniel Boies, Fethiye Asli Celikyilmaz, Anoop K. Deoras, Dustin Rigg Hillard, Dilek Z. Hakkani-Tur, Gokhan Tur, Fileno A. Alleva