Abstract: An apparatus for contextual execution comprises a processor, and a memory containing instructions, which when executed by the processor, cause the apparatus to receive, from a user terminal, a control input associated with an intent, obtain location data associated with a location of the user terminal, and determine a scored set of execution options associated with the control input. Further, the instructions, when executed by the processor cause the apparatus to obtain a contextual label associated with the location data, the label determined based on the application of one or more adapted pretrained deep learning models to the location data.

Abstract: A method, an electronic device, and computer readable medium is provided. The method includes identifying a frequency of each word that is present within a set of words. The method also includes deriving relatedness values for pairs of words. Each pair of words includes a first word and a second word in the set of words. Each relatedness value corresponds to a respective one of the pairs of words. Each relatedness value is based on the identified frequencies that the first word and the second word of the respective pair of words are present within the set of words. The method further includes generating a matrix representing the relatedness values. The method additionally includes generating a language model that represents relationships between the set of words included in the matrix.

Abstract: A method, an electronic device, and computer readable medium is provided. The method includes identifying a frequency of each word that is present within a set of words. The method also includes deriving relatedness values for pairs of words. Each pair of words includes a first word and a second word in the set of words. Each relatedness value corresponds to a respective one of the pairs of words. Each relatedness value is based on the identified frequencies that the first word and the second word of the respective pair of words are present within the set of words. The method further includes generating a matrix representing the relatedness values. The method additionally includes generating a language model that represents relationships between the set of words included in the matrix.

Abstract: An apparatus for contextual execution comprises a processor, and a memory containing instructions, which when executed by the processor, cause the apparatus to receive, from a user terminal, a control input associated with an intent, obtain location data associated with a location of the user terminal, and determine a scored set of execution options associated with the control input. Further, the instructions, when executed by the processor cause the apparatus to obtain a contextual label associated with the location data, the label determined based on the application of one or more adapted pretrained deep learning models to the location data.