Abstract:
A system and method for testing in a database system. In one embodiment, a method includes receiving an indication of one or more changes to a software application, wherein each change corresponds to a different version of the software application. The method further includes generating one or more virtual machines for a version of the software application in response to the indication, wherein the one or more virtual machines test the version of the software application.
Abstract:
Systems and methods are provided for performing a video-grounded dialogue task by a neural network model using bi-directional spatial-temporal reasoning. According to some embodiments, the systems and methods implement a dual network architecture or framework. This framework includes one network or reasoning module that learns dependencies between text and video in the direction of spatial→temporal, and another network or reasoning module that learns in the direction of temporal→spatial. The output of the multimodal reasoning modules may be combined to learn dependencies between language features in dialogues. The result joint representation is used as a contextual feature to the decoding components which allow the model to semantically generate meaningful responses to the users. In some embodiments, pointer networks are extended to the video-grounded dialogue task to allow the model to point to specific tokens from multiple source sequences to generate responses.
Abstract:
A system and method for generating a response in a video grounded dialogue are provided. A video-grounded dialogue neural network language model receives video input and text input. The text input includes a dialogue history between the model and a human user and a current utterance by the user. Encoded video input is generated using video encoding layers. Encoded text input is generated using text encoding layers. The encoded video input and the encoded text input are concatenated in to a single input sequence. A generative pre-trained transformer model generates the response to the current utterance from the singe input sequence.
Abstract:
A method for dialog state tracking includes decoding, by a fertility decoder, encoded dialog information associated with a dialog to generate fertilities for generating dialog states of the dialog. Each dialog state includes one or more domains. Each domain includes one or more slots. Each slot includes one or more slot tokens. The method further includes generating an input sequence to a state decoder based on the fertilities. A total number of each slot token in the input sequence is based on a corresponding fertility. The method further includes encoding, by a state encoder, the input sequence to the state decoder, and decoding, by the state decoder, the encoded input sequence to generate a complete sequence of the dialog states.
Abstract:
A system and method for testing in a database system. In one embodiment, a method includes receiving an indication of one or more changes to a software application, wherein each change corresponds to a different version of the software application. The method further includes generating one or more virtual machines for a version of the software application in response to the indication, wherein the one or more virtual machines test the version of the software application.